notebooks/8 Kvantifikacija sličnosti i razlika složenih objekata.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9a87fd5d",
   "metadata": {},
   "source": [
    "# Kvantifikacija sličnosti i razlika složenih objekata"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "265b8e60",
   "metadata": {},
   "source": [
    ">U ovoj svesci ćemo uraditi frekvencijsku analizu slova u istom pisanom tekstu datom na trideset različitih jezika. Ovaj način parametrizacije će nam otvoriti mogućnost da definišemo metriku sličnosti jezika i da utvrdimo koji su jezici međusobno najsličniji. Na sličan način možemo da prametrizujemo i druge složene objekte."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89c0de57",
   "metadata": {},
   "source": [
    "Da bismo mogli da poredimo sličnosti ili razlike bilo kakvih objekata ili procesa moramo da ih kvantifikujemo. Moramo nešto što je kvalitativni opis da pretvorimo u kvantitativni. Da pojavu pretvorimo u niz brojčanih pokazatelja. Sliku možemo da predstavimo preko RGB komponenti boje za svaki piksel, muziku možemo da razložimo na spektar frekvencija, a performanse automobila da prikažemo preko indikatora snage, brzine, komfora itd. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97763629",
   "metadata": {},
   "source": [
    "Ovde ćemo probati da osmislimo meru sličnosti različitih jezika na osnovu učestanosti slova u pisanom tekstu. Za to nam je potreban tekst, još bolje isti tekst, na više različitih jezika. Za taj tekst ćemo onda uraditi frekvencijsku analizu. Tekst koji ćemo koristiti je vrlo kratka priča koja se baš tako zove -- \"Vrlo kratka priča\", Ernesta Hemingveja ([_A Very Short Story_](https://archive.org/details/AdvRAVeryShortStoryByErnestHemingway)). Ovaj smo već preveli na tridesetak jezika, ali ćemo videti kako možete sami da ih prevedete i na neke druge. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db2e3c01",
   "metadata": {},
   "source": [
    "Za analizu teksta će nam biti potrebne neke retko korišćene biblioteke koje prvo treba instalirati. U sledećoj ćeliji je niz biblioteka koje treba instalirati. Da to ne bismo radili kad god pokrenemo svesku, stavili smo komande kao komentare. Skinite _hash_ znake `#` pre nego što izvršite komande u ovoj ćeliji.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "04f80519",
   "metadata": {},
   "outputs": [],
   "source": [
    "# pip install deep-translator\n",
    "# pip install transliterate\n",
    "# pip install unidecode\n",
    "# pip install sparklines"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dcb2a634",
   "metadata": {},
   "source": [
    "U string __kratka__ ćemo učitati originalni tekst veoma kratke priče (na engleskom) pomoću funkcije `read()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "06566dc6",
   "metadata": {},
   "outputs": [],
   "source": [
    "fajl=open(\"data/kratka.txt\", \"r\")\n",
    "kratka = fajl.read()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7df0b618",
   "metadata": {},
   "source": [
    "Pošto priča nije previše duga, možemo da je prikažemo celu na ekranu."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0f8e7a7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'One hot evening in Padua they carried him up onto the roof and he could look out over the top of the town. There were chimney swifts in the sky. After a while it got dark and the searchlights came out. The others went down and took the bottles with them. He and Luz could hear them below on the balcony. Luz sat on the bed. She was cool and fresh in the hot night.\\nLuz stayed on night duty for three months. They were glad to let her. When they operated on him she prepared him for the operating table; and they had a joke about friend or enema. He went under the anaesthetic holding tight on to himself so he would not blab about anything during the silly, talky time. After he got on crutches he used to take the temperatures so Luz would not have to get up from the bed. There were only a few patients, and they all knew about it. They all liked Luz. As he walked back along the halls he thought of Luz in his bed.\\nBefore he went back to the front they went into the Duomo and prayed. It was dim and quiet, and there were other people praying. They wanted to get married, but there was not enough time for the banns, and neither of them had birth certificates. They felt as though they were married, but they wanted everyone to know about it, and to make it so they could not lose it.\\nLuz wrote him many letters that he never got until after the armistice. Fifteen came in a bunch to the front and he sorted them by the dates and read them all straight through. They were all about the hospital, and how much she loved him and how it was impossible to get along without him and how terrible it was missing him at night.\\nAfter the armistice they agreed he should go home to get a job so they might be married. Luz would not come home until he had a good job and could come to New York to meet her. It was understood he would not drink, and he did not want to see his friends or anyone in the States. Only to get a job and be married. On the train from Padua to Milan they quarreled about her not being willing to come home at once. When they had to say good-bye, in the station at Milan, they kissed good-bye, but were not finished with the quarrel. He felt sick about saying good-bye like that.\\nHe went to America on a boat from Genoa. Luz went back to Pordonone to open a hospital. It was lonely and rainy there, and there was a battalion of arditi quartered in the town. Living in the muddy, rainy town in the winter, the major of the battalion made love to Luz, and she had never known Italians before, and finally wrote to the States that theirs had only been a boy and girl affair. She was sorry, and she knew he would probably not be able to understand, but might some day forgive her, and be grateful to her, and she expected, absolutely unexpectedly, to be married in the spring. She loved him as always, but she realized now it was only a boy and girl love. She hoped he would have a great career, and believed in him absolutely. She knew it was for the best.\\nThe major did not marry her in the spring, or any other time. Luz never got an answer to the letter to Chicago about it. A short time after he contracted gonorrhea from a sales girl in a loop department store while riding in a taxicab through Lincoln Park.'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kratka"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06888cfe",
   "metadata": {},
   "source": [
    "Pažljivo čitanje teksta će nam otkriti da u stringu __kratka__ postoje kontrolni znaci \"\\n\" koji označavaju prelom, ondnosno kraj linije teksta. To nam je samo smetnja za analizu pa ćemo te znake ukloniti. Tačnije, zamenićemo ih razmakom \" \" kako susedne reči u tekstu ne bi bile spojene."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e329850d",
   "metadata": {},
   "outputs": [],
   "source": [
    "kratka_en=kratka.replace(\"\\n\",\" \")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1b948fb",
   "metadata": {},
   "source": [
    "## Prevođenje"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f00cd93a",
   "metadata": {},
   "source": [
    "Da bismo tekst preveli na druge jezike, potrebna nam je biblioteka koja ima odgovarajuće funkcije. Ovde ćemo koristiti __GoogleTranslator__."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c599c29a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from deep_translator import GoogleTranslator"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26c9a84b",
   "metadata": {},
   "source": [
    "Funkcije `GoogleTranslator()` ima dva parametra `source` i `target` kojima navodimo iz kog u koji jezik prevodimo tekst. Argument funkcije je sam string sa tekstom koji prevodimo. Ovde ćemo dati prevod vrlo kratke priče na srpski."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e575f167",
   "metadata": {},
   "outputs": [],
   "source": [
    "prevod = GoogleTranslator(source='en', target='sr').translate(kratka_en)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c06f3c29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Једне вруће вечери у Падови однели су га на кров и могао је да гледа преко врха града. На небу су биле оџаци. После неког времена пао је мрак и угасили су се рефлектори. Остали су сишли и понели флаше са собом. Он и Луз су могли да их чују доле на балкону. Луз је седела на кревету. Била је хладна и свежа у врућој ноћи. Луз је остала на ноћном дежурству три месеца. Било им је драго што су је пустили. Када су га оперисали, припремила га је за операциони сто; а имали су шалу о пријатељу или клистир. Ушао је под анестезију чврсто се држао за себе како не би ништа брбљао током глупог, причања. Након што је стао на штаке, мерио је температуру како Луз не би морала да устане из кревета. Било је само неколико пацијената, и сви су знали за то. Сви су волели Луз. Док се враћао ходницима, помислио је на Луз у свом кревету. Пре него што се вратио на фронт, ушли су у Дуомо и молили се. Било је мрачно и тихо, а било је и других људи који су се молили. Хтели су да се венчају, али није било довољно времена за банове, а ни један ни други нису имали изводе из матичне књиге рођених. Осећали су се као да су у браку, али су желели да сви знају за то и да то учине тако да не изгубе. Луз му је написао многа писма која није добио све до примирја. Петнаест их је дошло у гомили на почетку и он их је сортирао по датумима и све их прочитао до краја. Све су биле о болници, о томе колико га је волела и како је немогуће издржати без њега и како је страшно недостајао ноћу. Након примирја сложили су се да треба да оде кући да се запосли како би се могли венчати. Луз се није враћао кући док није имао добар посао и могао да дође у Њујорк да је упозна. Подразумевало се да неће пити, и није желео да види своје пријатеље или било кога у Сједињеним Државама. Само да би се запослио и био ожењен. У возу од Падове до Милана посвађали су се да она не жели одмах да дође кући. Када је требало да се поздраве, на станици у Милану, пољубили су се за растанак, али свађа није била завршена. Било му је мука од таквог растанка. Отишао је у Америку бродом из Ђенове. Луз се вратила у Пордононе да отвори болницу. Тамо је било усамљено и кишовито, а у граду је био смештен батаљон ардити. Живећи у блатњавом, кишном граду зими, мајор батаљона је водио љубав са Луз, а она никада раније није познавала Италијане, и на крају је писала Државама да су се они односили само на дечака и девојчицу. Било јој је жао, и знала је да он вероватно неће моћи да разуме, али ће јој једног дана можда опростити и бити јој захвалан, а очекивала је, сасвим неочекивано, да се венча на пролеће. Волела га је као и увек, али је сада схватила да је то само љубав дечака и девојчице. Надала се да ће имати сјајну каријеру и апсолутно је веровала у њега. Знала је да је тако најбоље. Мајор је није оженио ни у пролеће, ни у било које друго време. Луз никада није добила одговор на писмо Чикагу о томе. Убрзо након што је добио гонореју од продавачице у робној кући Лооп док се возио таксијем кроз Линколн парк.'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prevod"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "230c38eb",
   "metadata": {},
   "source": [
    "Ovo možda nije idealan prevod, ali će svakako poslužiti analizi koju planiramo. Lista svetskih jezika koji imaju svoj ISO  kôd data je u fajlu __data/jezici.csv__. Google prevodilac nema mogućnost da prevede tekst baš na sve te jezike, ali radi za gotovo sve koji se koriste u Evropi. To će nam biti dovoljno za ovu vežbu. Kodove evropskih jezika ćemo izdvojiti u listu __lista__."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "eeef4e09",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3a4f4bba",
   "metadata": {},
   "outputs": [],
   "source": [
    "jezici=pd.read_csv('data/jezici.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "cbbe8dd0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Language</th>\n",
       "      <th>ISO_Code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abkhazian</td>\n",
       "      <td>ab</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afar</td>\n",
       "      <td>aa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Afrikaans</td>\n",
       "      <td>af</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Akan</td>\n",
       "      <td>ak</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Albanian</td>\n",
       "      <td>sq</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>Western Frisian</td>\n",
       "      <td>fy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>Xhosa</td>\n",
       "      <td>xh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>Yiddish</td>\n",
       "      <td>yi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>Yoruba</td>\n",
       "      <td>yo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>Zulu</td>\n",
       "      <td>zu</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>175 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Language ISO_Code\n",
       "0          Abkhazian       ab\n",
       "1               Afar       aa\n",
       "2          Afrikaans       af\n",
       "3               Akan       ak\n",
       "4           Albanian       sq\n",
       "..               ...      ...\n",
       "170  Western Frisian       fy\n",
       "171            Xhosa       xh\n",
       "172          Yiddish       yi\n",
       "173           Yoruba       yo\n",
       "174             Zulu       zu\n",
       "\n",
       "[175 rows x 2 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jezici"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "08664a40",
   "metadata": {},
   "outputs": [],
   "source": [
    "lista=['bg','cs','da','de','el','en','es','et','hr','hu','fi','fr','is','it','lt','lv','mk','nl','no','pl','pt','ro','ru','sr',\n",
    "       'sk','sl','sv','sq','tr','uk']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3386701d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(lista)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27b81d64",
   "metadata": {},
   "source": [
    "Ovde možemo da prevodimo tekst __kratka__ na sve željene jezike (što je vremenski zametno) ili da učitamo fajl u kom je tekst već preveden. Vi se odlučite za kraću ili dužu varijantu. Ako hoćete dužu, skinite _hash_ sa početka narednih linija i izvršite ih. Ako hoćete kraću, idite odmah na učitavanje fajla __uzorak.csv__."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "438db0ad",
   "metadata": {},
   "source": [
    "### Varijanta sa prevođenjem na sve jezike iz liste"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57f17af7",
   "metadata": {},
   "source": [
    "Napravićemo _DataFrame_ koji u prvim kolonama ima ISO kodove jezika na koje hoćemo da prevodimo. Tekst prevoda će za početak biti samo razmak `\" \"` (osim za vrstu gde je engleski original) koji ćemo posle zameniti tekstom prevoda."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "af2d4dba",
   "metadata": {},
   "outputs": [],
   "source": [
    "# uzorak=jezici[jezici.ISO_Code.isin(lista)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "0f97b006",
   "metadata": {},
   "outputs": [],
   "source": [
    "# uzorak=uzorak.assign(Text=\" \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4694f0f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# uzorak.loc[uzorak['ISO_Code']==\"en\",'Text']=kratka_en"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "72158281",
   "metadata": {},
   "outputs": [],
   "source": [
    "# uzorak"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "25672e1b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# for code in lista:\n",
    "#    if code!=\"en\":\n",
    "#        prevod=GoogleTranslator(source='en', target=code).translate(kratka_en)\n",
    "#        uzorak.loc[uzorak['ISO_Code']==code,'Text']=prevod"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "899938dd",
   "metadata": {},
   "source": [
    "### Varijanta sa učitavanjem već prevedenih tekstova"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "bb9bc42c",
   "metadata": {},
   "outputs": [],
   "source": [
    "uzorak=pd.read_csv('data/uzorak.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4f1e2d82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Language</th>\n",
       "      <th>ISO_Code</th>\n",
       "      <th>Text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Albanian</td>\n",
       "      <td>sq</td>\n",
       "      <td>Një mbrëmje të nxehtë në Padova e çuan atë mbi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bulgarian</td>\n",
       "      <td>bg</td>\n",
       "      <td>Една гореща вечер в Падуа го изнесоха на покри...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Croatian</td>\n",
       "      <td>hr</td>\n",
       "      <td>Jedne vruće večeri u Padovi odnijeli su ga na ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Czech</td>\n",
       "      <td>cs</td>\n",
       "      <td>Jednoho horkého večera v Padově ho vynesli na ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Danish</td>\n",
       "      <td>da</td>\n",
       "      <td>En varm aften i Padua bar de ham op på taget, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dutch</td>\n",
       "      <td>nl</td>\n",
       "      <td>Op een hete avond in Padua droegen ze hem het ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>English</td>\n",
       "      <td>en</td>\n",
       "      <td>One hot evening in Padua they carried him up o...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Estonian</td>\n",
       "      <td>et</td>\n",
       "      <td>Ühel kuumal õhtul Padovas viisid nad ta katuse...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Finnish</td>\n",
       "      <td>fi</td>\n",
       "      <td>Eräänä kuumana iltana Padovassa he veivät häne...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>French</td>\n",
       "      <td>fr</td>\n",
       "      <td>Par une chaude soirée à Padoue, ils le portère...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>German</td>\n",
       "      <td>de</td>\n",
       "      <td>An einem heißen Abend in Padua trugen sie ihn ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Greek</td>\n",
       "      <td>el</td>\n",
       "      <td>Ένα καυτό βράδυ στην Πάντοβα τον ανέβασαν στην...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Hungarian</td>\n",
       "      <td>hu</td>\n",
       "      <td>Egy forró estén Padovában felvitték a tetőre, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Icelandic</td>\n",
       "      <td>is</td>\n",
       "      <td>Eitt heitt kvöld í Padua báru þeir hann upp á ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Italian</td>\n",
       "      <td>it</td>\n",
       "      <td>Una calda sera di Padova lo portarono sul tett...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Latvian (Lettish)</td>\n",
       "      <td>lv</td>\n",
       "      <td>Kādu karstu vakaru Padovā viņi pacēla viņu uz ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Lithuanian</td>\n",
       "      <td>lt</td>\n",
       "      <td>Vieną karštą vakarą Paduvoje jie pakėlė jį ant...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Macedonian</td>\n",
       "      <td>mk</td>\n",
       "      <td>Една жешка вечер во Падова го однесоа на покри...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Norwegian</td>\n",
       "      <td>no</td>\n",
       "      <td>En varm kveld i Padua bar de ham opp på taket,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Polish</td>\n",
       "      <td>pl</td>\n",
       "      <td>Pewnego upalnego wieczoru w Padwie wnieśli go ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Portuguese</td>\n",
       "      <td>pt</td>\n",
       "      <td>Em uma noite quente em Pádua, eles o carregara...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Romanian</td>\n",
       "      <td>ro</td>\n",
       "      <td>Într-o seară fierbinte, în Padova, l-au dus pe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Russian</td>\n",
       "      <td>ru</td>\n",
       "      <td>Однажды жарким вечером в Падуе его вынесли на ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Serbian</td>\n",
       "      <td>sr</td>\n",
       "      <td>Једне вреле вечери у Падови однели су га на кр...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Slovak</td>\n",
       "      <td>sk</td>\n",
       "      <td>Jedného horúceho večera v Padove ho vyniesli n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Slovenian</td>\n",
       "      <td>sl</td>\n",
       "      <td>Nekega vročega večera v Padovi so ga odnesli n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Spanish</td>\n",
       "      <td>es</td>\n",
       "      <td>Una tarde calurosa en Padua lo subieron al tej...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Swedish</td>\n",
       "      <td>sv</td>\n",
       "      <td>En varm kväll i Padua bar de upp honom på take...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Turkish</td>\n",
       "      <td>tr</td>\n",
       "      <td>Padua'da sıcak bir akşam onu ​​çatıya taşıdıla...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Ukrainian</td>\n",
       "      <td>uk</td>\n",
       "      <td>Одного спекотного вечора в Падуї вони винесли ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Language ISO_Code  \\\n",
       "0            Albanian       sq   \n",
       "1           Bulgarian       bg   \n",
       "2            Croatian       hr   \n",
       "3               Czech       cs   \n",
       "4              Danish       da   \n",
       "5               Dutch       nl   \n",
       "6             English       en   \n",
       "7            Estonian       et   \n",
       "8             Finnish       fi   \n",
       "9              French       fr   \n",
       "10             German       de   \n",
       "11              Greek       el   \n",
       "12          Hungarian       hu   \n",
       "13          Icelandic       is   \n",
       "14            Italian       it   \n",
       "15  Latvian (Lettish)       lv   \n",
       "16         Lithuanian       lt   \n",
       "17         Macedonian       mk   \n",
       "18          Norwegian       no   \n",
       "19             Polish       pl   \n",
       "20         Portuguese       pt   \n",
       "21           Romanian       ro   \n",
       "22            Russian       ru   \n",
       "23            Serbian       sr   \n",
       "24             Slovak       sk   \n",
       "25          Slovenian       sl   \n",
       "26            Spanish       es   \n",
       "27            Swedish       sv   \n",
       "28            Turkish       tr   \n",
       "29          Ukrainian       uk   \n",
       "\n",
       "                                                 Text  \n",
       "0   Një mbrëmje të nxehtë në Padova e çuan atë mbi...  \n",
       "1   Една гореща вечер в Падуа го изнесоха на покри...  \n",
       "2   Jedne vruće večeri u Padovi odnijeli su ga na ...  \n",
       "3   Jednoho horkého večera v Padově ho vynesli na ...  \n",
       "4   En varm aften i Padua bar de ham op på taget, ...  \n",
       "5   Op een hete avond in Padua droegen ze hem het ...  \n",
       "6   One hot evening in Padua they carried him up o...  \n",
       "7   Ühel kuumal õhtul Padovas viisid nad ta katuse...  \n",
       "8   Eräänä kuumana iltana Padovassa he veivät häne...  \n",
       "9   Par une chaude soirée à Padoue, ils le portère...  \n",
       "10  An einem heißen Abend in Padua trugen sie ihn ...  \n",
       "11  Ένα καυτό βράδυ στην Πάντοβα τον ανέβασαν στην...  \n",
       "12  Egy forró estén Padovában felvitték a tetőre, ...  \n",
       "13  Eitt heitt kvöld í Padua báru þeir hann upp á ...  \n",
       "14  Una calda sera di Padova lo portarono sul tett...  \n",
       "15  Kādu karstu vakaru Padovā viņi pacēla viņu uz ...  \n",
       "16  Vieną karštą vakarą Paduvoje jie pakėlė jį ant...  \n",
       "17  Една жешка вечер во Падова го однесоа на покри...  \n",
       "18  En varm kveld i Padua bar de ham opp på taket,...  \n",
       "19  Pewnego upalnego wieczoru w Padwie wnieśli go ...  \n",
       "20  Em uma noite quente em Pádua, eles o carregara...  \n",
       "21  Într-o seară fierbinte, în Padova, l-au dus pe...  \n",
       "22  Однажды жарким вечером в Падуе его вынесли на ...  \n",
       "23  Једне вреле вечери у Падови однели су га на кр...  \n",
       "24  Jedného horúceho večera v Padove ho vyniesli n...  \n",
       "25  Nekega vročega večera v Padovi so ga odnesli n...  \n",
       "26  Una tarde calurosa en Padua lo subieron al tej...  \n",
       "27  En varm kväll i Padua bar de upp honom på take...  \n",
       "28  Padua'da sıcak bir akşam onu ​​çatıya taşıdıla...  \n",
       "29  Одного спекотного вечора в Падуї вони винесли ...  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "uzorak"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70f145ce",
   "metadata": {},
   "source": [
    "## Transliteracija"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3be79c07",
   "metadata": {},
   "source": [
    "Iako ne znamo sve jezike u listi, neke bismo lako mogli da prepoznamo. Ako počinje sa _Ένα καυτό βράδυ στην_ to mora da je grčki, a ako piše _Однажды жарким вечером_ sigurno je ruski. Razlog brzog prepoznavanje je karakterističan alfabet koji koriste ovi jezici. Pošto su kodovi za ova slova sasvim drugačiji od onih koji su u engleskom jeziku ili našoj latinici, frekvencijska analiza ne bi imala mnogo smisla. Preklapanja ne bi bilo uopšte. Dovoljno bi bilo da u jednom tekstu vidimo \"β\", \"ы\" ili \"ћ\" pa da znamo o kom je jeziku reč. Zato ćemo zadatak da učinimo malo težim -- prebacićemo sav tekst u [ASCII kodove](https://sr.wikipedia.org/sr-el/ASCII) da bi bili uporedivi. Prvi korak ka tome je da uradimo transliteraciju, tj. da iz originalnih alfabeta pređemo na latinicu."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2bd2d350",
   "metadata": {},
   "source": [
    "Tabeli __uzorak__ ćemo dodati kolonu pod nazivom __Transliteration__ koja će ispočetka imati iste vrednosti kao što je u koloni __Text__."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "9bb3d982",
   "metadata": {},
   "outputs": [],
   "source": [
    "uzorak['Transliteration']=uzorak['Text']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "73b85499",
   "metadata": {},
   "outputs": [],
   "source": [
    "from transliterate import translit, get_available_language_codes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec21e291",
   "metadata": {},
   "source": [
    "Većina tekstova je već pisana nekom verzijom latinice pa ne moramo da radimo transliteraciju. Za srpski uvek proverite, nikad se ne zna hoće li Google prevod da napiše ćirilicom ili latinicom. U fajlu koji učitavate je prevod koji je urađen kada je pisana ova sveska i tada je prevod bio ćirilicom. Moguće je da bi prevod danas bio unekoliko drugačiji. Lista jezika za koje treba da uradimo transliteraciju ima svega nekoliko jezika: bugarski, grčki, makedonski, ruski, srpski i ukrajinski. Obratite pažnju da korišćena pravila transliteracije izgleda nisu zvanična. U makedonskom se, na primer, ж pretvara u zh umesto u ž. To će svakako uneti šum u statistiku. Sličnu situaciju imamo i sa bugarskim. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "514f0671",
   "metadata": {},
   "outputs": [],
   "source": [
    "for code in ['bg','el','mk','ru','sr','uk']:\n",
    "    text=list(uzorak[uzorak['ISO_Code']==code]['Text'])[0]\n",
    "    uzorak.loc[uzorak['ISO_Code']==code,'Transliteration']=translit(text, code, reversed=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17fbb61a",
   "metadata": {},
   "source": [
    "Tehnička napomena: U petlji koju smo ovde primenili uzimamo tekst iz tabele koji je promenljiva tipa _object_. Zato ga pretvaramo prvo u listu pa onda čist tekst dobijamo kao element liste sa indeksom nula."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "e469714d",
   "metadata": {},
   "outputs": [
    {
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Language</th>\n",
       "      <th>ISO_Code</th>\n",
       "      <th>Text</th>\n",
       "      <th>Transliteration</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Albanian</td>\n",
       "      <td>sq</td>\n",
       "      <td>Një mbrëmje të nxehtë në Padova e çuan atë mbi...</td>\n",
       "      <td>Një mbrëmje të nxehtë në Padova e çuan atë mbi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bulgarian</td>\n",
       "      <td>bg</td>\n",
       "      <td>Една гореща вечер в Падуа го изнесоха на покри...</td>\n",
       "      <td>Edna goreshta vecher v Padua go iznesoha na po...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Croatian</td>\n",
       "      <td>hr</td>\n",
       "      <td>Jedne vruće večeri u Padovi odnijeli su ga na ...</td>\n",
       "      <td>Jedne vruće večeri u Padovi odnijeli su ga na ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Czech</td>\n",
       "      <td>cs</td>\n",
       "      <td>Jednoho horkého večera v Padově ho vynesli na ...</td>\n",
       "      <td>Jednoho horkého večera v Padově ho vynesli na ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Danish</td>\n",
       "      <td>da</td>\n",
       "      <td>En varm aften i Padua bar de ham op på taget, ...</td>\n",
       "      <td>En varm aften i Padua bar de ham op på taget, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dutch</td>\n",
       "      <td>nl</td>\n",
       "      <td>Op een hete avond in Padua droegen ze hem het ...</td>\n",
       "      <td>Op een hete avond in Padua droegen ze hem het ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>English</td>\n",
       "      <td>en</td>\n",
       "      <td>One hot evening in Padua they carried him up o...</td>\n",
       "      <td>One hot evening in Padua they carried him up o...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Estonian</td>\n",
       "      <td>et</td>\n",
       "      <td>Ühel kuumal õhtul Padovas viisid nad ta katuse...</td>\n",
       "      <td>Ühel kuumal õhtul Padovas viisid nad ta katuse...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Finnish</td>\n",
       "      <td>fi</td>\n",
       "      <td>Eräänä kuumana iltana Padovassa he veivät häne...</td>\n",
       "      <td>Eräänä kuumana iltana Padovassa he veivät häne...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>French</td>\n",
       "      <td>fr</td>\n",
       "      <td>Par une chaude soirée à Padoue, ils le portère...</td>\n",
       "      <td>Par une chaude soirée à Padoue, ils le portère...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>German</td>\n",
       "      <td>de</td>\n",
       "      <td>An einem heißen Abend in Padua trugen sie ihn ...</td>\n",
       "      <td>An einem heißen Abend in Padua trugen sie ihn ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Greek</td>\n",
       "      <td>el</td>\n",
       "      <td>Ένα καυτό βράδυ στην Πάντοβα τον ανέβασαν στην...</td>\n",
       "      <td>Έna kauto vradu stin Pantova ton anevasan stin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Hungarian</td>\n",
       "      <td>hu</td>\n",
       "      <td>Egy forró estén Padovában felvitték a tetőre, ...</td>\n",
       "      <td>Egy forró estén Padovában felvitték a tetőre, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Icelandic</td>\n",
       "      <td>is</td>\n",
       "      <td>Eitt heitt kvöld í Padua báru þeir hann upp á ...</td>\n",
       "      <td>Eitt heitt kvöld í Padua báru þeir hann upp á ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Italian</td>\n",
       "      <td>it</td>\n",
       "      <td>Una calda sera di Padova lo portarono sul tett...</td>\n",
       "      <td>Una calda sera di Padova lo portarono sul tett...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Latvian (Lettish)</td>\n",
       "      <td>lv</td>\n",
       "      <td>Kādu karstu vakaru Padovā viņi pacēla viņu uz ...</td>\n",
       "      <td>Kādu karstu vakaru Padovā viņi pacēla viņu uz ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Lithuanian</td>\n",
       "      <td>lt</td>\n",
       "      <td>Vieną karštą vakarą Paduvoje jie pakėlė jį ant...</td>\n",
       "      <td>Vieną karštą vakarą Paduvoje jie pakėlė jį ant...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Macedonian</td>\n",
       "      <td>mk</td>\n",
       "      <td>Една жешка вечер во Падова го однесоа на покри...</td>\n",
       "      <td>Edna zheshka vecher vo Padova go odnesoa na po...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Norwegian</td>\n",
       "      <td>no</td>\n",
       "      <td>En varm kveld i Padua bar de ham opp på taket,...</td>\n",
       "      <td>En varm kveld i Padua bar de ham opp på taket,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Polish</td>\n",
       "      <td>pl</td>\n",
       "      <td>Pewnego upalnego wieczoru w Padwie wnieśli go ...</td>\n",
       "      <td>Pewnego upalnego wieczoru w Padwie wnieśli go ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Portuguese</td>\n",
       "      <td>pt</td>\n",
       "      <td>Em uma noite quente em Pádua, eles o carregara...</td>\n",
       "      <td>Em uma noite quente em Pádua, eles o carregara...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Romanian</td>\n",
       "      <td>ro</td>\n",
       "      <td>Într-o seară fierbinte, în Padova, l-au dus pe...</td>\n",
       "      <td>Într-o seară fierbinte, în Padova, l-au dus pe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Russian</td>\n",
       "      <td>ru</td>\n",
       "      <td>Однажды жарким вечером в Падуе его вынесли на ...</td>\n",
       "      <td>Odnazhdy zharkim vecherom v Padue ego vynesli ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Serbian</td>\n",
       "      <td>sr</td>\n",
       "      <td>Једне вреле вечери у Падови однели су га на кр...</td>\n",
       "      <td>Jedne vrele večeri u Padovi odneli su ga na kr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Slovak</td>\n",
       "      <td>sk</td>\n",
       "      <td>Jedného horúceho večera v Padove ho vyniesli n...</td>\n",
       "      <td>Jedného horúceho večera v Padove ho vyniesli n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Slovenian</td>\n",
       "      <td>sl</td>\n",
       "      <td>Nekega vročega večera v Padovi so ga odnesli n...</td>\n",
       "      <td>Nekega vročega večera v Padovi so ga odnesli n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Spanish</td>\n",
       "      <td>es</td>\n",
       "      <td>Una tarde calurosa en Padua lo subieron al tej...</td>\n",
       "      <td>Una tarde calurosa en Padua lo subieron al tej...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Swedish</td>\n",
       "      <td>sv</td>\n",
       "      <td>En varm kväll i Padua bar de upp honom på take...</td>\n",
       "      <td>En varm kväll i Padua bar de upp honom på take...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Turkish</td>\n",
       "      <td>tr</td>\n",
       "      <td>Padua'da sıcak bir akşam onu ​​çatıya taşıdıla...</td>\n",
       "      <td>Padua'da sıcak bir akşam onu ​​çatıya taşıdıla...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Ukrainian</td>\n",
       "      <td>uk</td>\n",
       "      <td>Одного спекотного вечора в Падуї вони винесли ...</td>\n",
       "      <td>Odnoho spekotnoho vechora v Paduyi vony vynesl...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Language ISO_Code  \\\n",
       "0            Albanian       sq   \n",
       "1           Bulgarian       bg   \n",
       "2            Croatian       hr   \n",
       "3               Czech       cs   \n",
       "4              Danish       da   \n",
       "5               Dutch       nl   \n",
       "6             English       en   \n",
       "7            Estonian       et   \n",
       "8             Finnish       fi   \n",
       "9              French       fr   \n",
       "10             German       de   \n",
       "11              Greek       el   \n",
       "12          Hungarian       hu   \n",
       "13          Icelandic       is   \n",
       "14            Italian       it   \n",
       "15  Latvian (Lettish)       lv   \n",
       "16         Lithuanian       lt   \n",
       "17         Macedonian       mk   \n",
       "18          Norwegian       no   \n",
       "19             Polish       pl   \n",
       "20         Portuguese       pt   \n",
       "21           Romanian       ro   \n",
       "22            Russian       ru   \n",
       "23            Serbian       sr   \n",
       "24             Slovak       sk   \n",
       "25          Slovenian       sl   \n",
       "26            Spanish       es   \n",
       "27            Swedish       sv   \n",
       "28            Turkish       tr   \n",
       "29          Ukrainian       uk   \n",
       "\n",
       "                                                 Text  \\\n",
       "0   Një mbrëmje të nxehtë në Padova e çuan atë mbi...   \n",
       "1   Една гореща вечер в Падуа го изнесоха на покри...   \n",
       "2   Jedne vruće večeri u Padovi odnijeli su ga na ...   \n",
       "3   Jednoho horkého večera v Padově ho vynesli na ...   \n",
       "4   En varm aften i Padua bar de ham op på taget, ...   \n",
       "5   Op een hete avond in Padua droegen ze hem het ...   \n",
       "6   One hot evening in Padua they carried him up o...   \n",
       "7   Ühel kuumal õhtul Padovas viisid nad ta katuse...   \n",
       "8   Eräänä kuumana iltana Padovassa he veivät häne...   \n",
       "9   Par une chaude soirée à Padoue, ils le portère...   \n",
       "10  An einem heißen Abend in Padua trugen sie ihn ...   \n",
       "11  Ένα καυτό βράδυ στην Πάντοβα τον ανέβασαν στην...   \n",
       "12  Egy forró estén Padovában felvitték a tetőre, ...   \n",
       "13  Eitt heitt kvöld í Padua báru þeir hann upp á ...   \n",
       "14  Una calda sera di Padova lo portarono sul tett...   \n",
       "15  Kādu karstu vakaru Padovā viņi pacēla viņu uz ...   \n",
       "16  Vieną karštą vakarą Paduvoje jie pakėlė jį ant...   \n",
       "17  Една жешка вечер во Падова го однесоа на покри...   \n",
       "18  En varm kveld i Padua bar de ham opp på taket,...   \n",
       "19  Pewnego upalnego wieczoru w Padwie wnieśli go ...   \n",
       "20  Em uma noite quente em Pádua, eles o carregara...   \n",
       "21  Într-o seară fierbinte, în Padova, l-au dus pe...   \n",
       "22  Однажды жарким вечером в Падуе его вынесли на ...   \n",
       "23  Једне вреле вечери у Падови однели су га на кр...   \n",
       "24  Jedného horúceho večera v Padove ho vyniesli n...   \n",
       "25  Nekega vročega večera v Padovi so ga odnesli n...   \n",
       "26  Una tarde calurosa en Padua lo subieron al tej...   \n",
       "27  En varm kväll i Padua bar de upp honom på take...   \n",
       "28  Padua'da sıcak bir akşam onu ​​çatıya taşıdıla...   \n",
       "29  Одного спекотного вечора в Падуї вони винесли ...   \n",
       "\n",
       "                                      Transliteration  \n",
       "0   Një mbrëmje të nxehtë në Padova e çuan atë mbi...  \n",
       "1   Edna goreshta vecher v Padua go iznesoha na po...  \n",
       "2   Jedne vruće večeri u Padovi odnijeli su ga na ...  \n",
       "3   Jednoho horkého večera v Padově ho vynesli na ...  \n",
       "4   En varm aften i Padua bar de ham op på taget, ...  \n",
       "5   Op een hete avond in Padua droegen ze hem het ...  \n",
       "6   One hot evening in Padua they carried him up o...  \n",
       "7   Ühel kuumal õhtul Padovas viisid nad ta katuse...  \n",
       "8   Eräänä kuumana iltana Padovassa he veivät häne...  \n",
       "9   Par une chaude soirée à Padoue, ils le portère...  \n",
       "10  An einem heißen Abend in Padua trugen sie ihn ...  \n",
       "11  Έna kauto vradu stin Pantova ton anevasan stin...  \n",
       "12  Egy forró estén Padovában felvitték a tetőre, ...  \n",
       "13  Eitt heitt kvöld í Padua báru þeir hann upp á ...  \n",
       "14  Una calda sera di Padova lo portarono sul tett...  \n",
       "15  Kādu karstu vakaru Padovā viņi pacēla viņu uz ...  \n",
       "16  Vieną karštą vakarą Paduvoje jie pakėlė jį ant...  \n",
       "17  Edna zheshka vecher vo Padova go odnesoa na po...  \n",
       "18  En varm kveld i Padua bar de ham opp på taket,...  \n",
       "19  Pewnego upalnego wieczoru w Padwie wnieśli go ...  \n",
       "20  Em uma noite quente em Pádua, eles o carregara...  \n",
       "21  Într-o seară fierbinte, în Padova, l-au dus pe...  \n",
       "22  Odnazhdy zharkim vecherom v Padue ego vynesli ...  \n",
       "23  Jedne vrele večeri u Padovi odneli su ga na kr...  \n",
       "24  Jedného horúceho večera v Padove ho vyniesli n...  \n",
       "25  Nekega vročega večera v Padovi so ga odnesli n...  \n",
       "26  Una tarde calurosa en Padua lo subieron al tej...  \n",
       "27  En varm kväll i Padua bar de upp honom på take...  \n",
       "28  Padua'da sıcak bir akşam onu ​​çatıya taşıdıla...  \n",
       "29  Odnoho spekotnoho vechora v Paduyi vony vynesl...  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "uzorak"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28fb1c13",
   "metadata": {},
   "source": [
    "Na ovaj način smo ujednačili testove, ali i dalje nisu ASCII. Moraćemo da uklonimo dijakritike kako bi karakteristični znaci kao što su \"ç\" ili \"č\" postali \"c\". Ne želimo da zadatak prepoznavanja bude previše lak."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e01a77f",
   "metadata": {},
   "source": [
    "### ASCII dekodiranje"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2b96918",
   "metadata": {},
   "source": [
    "Uklanjanje dijakritika možemo da uradimo pomoću funkcije `unidecode()` iz istoimene biblioteke."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "40112e74",
   "metadata": {},
   "outputs": [],
   "source": [
    "from unidecode import unidecode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "988f6662",
   "metadata": {},
   "outputs": [],
   "source": [
    "uzorak['ASCII']=uzorak['Text']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "002f671a",
   "metadata": {},
   "outputs": [],
   "source": [
    "for code in lista:\n",
    "    text=list(uzorak[uzorak['ISO_Code']==code]['Transliteration'])[0]\n",
    "    uzorak.loc[uzorak['ISO_Code']==code,'ASCII']=unidecode(text)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56f220d1",
   "metadata": {},
   "source": [
    "### Uklanjanje znakova interpunkcije"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b2c13b7",
   "metadata": {},
   "source": [
    "Sad kad imamo ASCII tekstove trebalo bi ukloniti znake interpunkcije. Neki jezici, kao francuski na primer, često koriste apostrof pa po tome mogu da se razlikuju od drugih jezika. Zadržaćemo samo razmake među rečima. Takođe, trebalo bi pretvoriti sva slova u mala kako se u statistici ne bi posebno pojavljivala velika i mala slova."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "252e2a5b",
   "metadata": {},
   "source": [
    "Za uklanjanje znakova koji nisu slova ili razmak koristićemo regularne izraze, odnosno funkcije biblioteke __re__. Konkretno funkcija `re.sub(r'[^\\w\\s]','',text)` će u tekstu __text__ zameniti sve znake koji nisu slova `\\w` ili razmaci `\\s` praznim stringom `''`. Kod tako očišćenog teksta ostaje da još sva velika slova pretvorimo u mala pomoću funkcije `str.lower()`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "7d71e115",
   "metadata": {},
   "outputs": [],
   "source": [
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "ebfdc0ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "uzorak['Reduced']=uzorak['ASCII']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d27090dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "for code in lista:\n",
    "    text=list(uzorak[uzorak['ISO_Code']==code]['ASCII'])[0]\n",
    "    uzorak.loc[uzorak['ISO_Code']==code,'Reduced']=str.lower(re.sub(r'[^\\w\\s]','',text))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "71130cb8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Language</th>\n",
       "      <th>ISO_Code</th>\n",
       "      <th>Text</th>\n",
       "      <th>Transliteration</th>\n",
       "      <th>ASCII</th>\n",
       "      <th>Reduced</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Albanian</td>\n",
       "      <td>sq</td>\n",
       "      <td>Një mbrëmje të nxehtë në Padova e çuan atë mbi...</td>\n",
       "      <td>Një mbrëmje të nxehtë në Padova e çuan atë mbi...</td>\n",
       "      <td>Nje mbremje te nxehte ne Padova e cuan ate mbi...</td>\n",
       "      <td>nje mbremje te nxehte ne padova e cuan ate mbi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bulgarian</td>\n",
       "      <td>bg</td>\n",
       "      <td>Една гореща вечер в Падуа го изнесоха на покри...</td>\n",
       "      <td>Edna goreshta vecher v Padua go iznesoha na po...</td>\n",
       "      <td>Edna goreshta vecher v Padua go iznesoha na po...</td>\n",
       "      <td>edna goreshta vecher v padua go iznesoha na po...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Croatian</td>\n",
       "      <td>hr</td>\n",
       "      <td>Jedne vruće večeri u Padovi odnijeli su ga na ...</td>\n",
       "      <td>Jedne vruće večeri u Padovi odnijeli su ga na ...</td>\n",
       "      <td>Jedne vruce veceri u Padovi odnijeli su ga na ...</td>\n",
       "      <td>jedne vruce veceri u padovi odnijeli su ga na ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Czech</td>\n",
       "      <td>cs</td>\n",
       "      <td>Jednoho horkého večera v Padově ho vynesli na ...</td>\n",
       "      <td>Jednoho horkého večera v Padově ho vynesli na ...</td>\n",
       "      <td>Jednoho horkeho vecera v Padove ho vynesli na ...</td>\n",
       "      <td>jednoho horkeho vecera v padove ho vynesli na ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Danish</td>\n",
       "      <td>da</td>\n",
       "      <td>En varm aften i Padua bar de ham op på taget, ...</td>\n",
       "      <td>En varm aften i Padua bar de ham op på taget, ...</td>\n",
       "      <td>En varm aften i Padua bar de ham op pa taget, ...</td>\n",
       "      <td>en varm aften i padua bar de ham op pa taget o...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dutch</td>\n",
       "      <td>nl</td>\n",
       "      <td>Op een hete avond in Padua droegen ze hem het ...</td>\n",
       "      <td>Op een hete avond in Padua droegen ze hem het ...</td>\n",
       "      <td>Op een hete avond in Padua droegen ze hem het ...</td>\n",
       "      <td>op een hete avond in padua droegen ze hem het ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>English</td>\n",
       "      <td>en</td>\n",
       "      <td>One hot evening in Padua they carried him up o...</td>\n",
       "      <td>One hot evening in Padua they carried him up o...</td>\n",
       "      <td>One hot evening in Padua they carried him up o...</td>\n",
       "      <td>one hot evening in padua they carried him up o...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Estonian</td>\n",
       "      <td>et</td>\n",
       "      <td>Ühel kuumal õhtul Padovas viisid nad ta katuse...</td>\n",
       "      <td>Ühel kuumal õhtul Padovas viisid nad ta katuse...</td>\n",
       "      <td>Uhel kuumal ohtul Padovas viisid nad ta katuse...</td>\n",
       "      <td>uhel kuumal ohtul padovas viisid nad ta katuse...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Finnish</td>\n",
       "      <td>fi</td>\n",
       "      <td>Eräänä kuumana iltana Padovassa he veivät häne...</td>\n",
       "      <td>Eräänä kuumana iltana Padovassa he veivät häne...</td>\n",
       "      <td>Eraana kuumana iltana Padovassa he veivat hane...</td>\n",
       "      <td>eraana kuumana iltana padovassa he veivat hane...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>French</td>\n",
       "      <td>fr</td>\n",
       "      <td>Par une chaude soirée à Padoue, ils le portère...</td>\n",
       "      <td>Par une chaude soirée à Padoue, ils le portère...</td>\n",
       "      <td>Par une chaude soiree a Padoue, ils le portere...</td>\n",
       "      <td>par une chaude soiree a padoue ils le porteren...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>German</td>\n",
       "      <td>de</td>\n",
       "      <td>An einem heißen Abend in Padua trugen sie ihn ...</td>\n",
       "      <td>An einem heißen Abend in Padua trugen sie ihn ...</td>\n",
       "      <td>An einem heissen Abend in Padua trugen sie ihn...</td>\n",
       "      <td>an einem heissen abend in padua trugen sie ihn...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Greek</td>\n",
       "      <td>el</td>\n",
       "      <td>Ένα καυτό βράδυ στην Πάντοβα τον ανέβασαν στην...</td>\n",
       "      <td>Έna kauto vradu stin Pantova ton anevasan stin...</td>\n",
       "      <td>Ena kauto vradu stin Pantova ton anevasan stin...</td>\n",
       "      <td>ena kauto vradu stin pantova ton anevasan stin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Hungarian</td>\n",
       "      <td>hu</td>\n",
       "      <td>Egy forró estén Padovában felvitték a tetőre, ...</td>\n",
       "      <td>Egy forró estén Padovában felvitték a tetőre, ...</td>\n",
       "      <td>Egy forro esten Padovaban felvittek a tetore, ...</td>\n",
       "      <td>egy forro esten padovaban felvittek a tetore e...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Icelandic</td>\n",
       "      <td>is</td>\n",
       "      <td>Eitt heitt kvöld í Padua báru þeir hann upp á ...</td>\n",
       "      <td>Eitt heitt kvöld í Padua báru þeir hann upp á ...</td>\n",
       "      <td>Eitt heitt kvold i Padua baru their hann upp a...</td>\n",
       "      <td>eitt heitt kvold i padua baru their hann upp a...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Italian</td>\n",
       "      <td>it</td>\n",
       "      <td>Una calda sera di Padova lo portarono sul tett...</td>\n",
       "      <td>Una calda sera di Padova lo portarono sul tett...</td>\n",
       "      <td>Una calda sera di Padova lo portarono sul tett...</td>\n",
       "      <td>una calda sera di padova lo portarono sul tett...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Latvian (Lettish)</td>\n",
       "      <td>lv</td>\n",
       "      <td>Kādu karstu vakaru Padovā viņi pacēla viņu uz ...</td>\n",
       "      <td>Kādu karstu vakaru Padovā viņi pacēla viņu uz ...</td>\n",
       "      <td>Kadu karstu vakaru Padova vini pacela vinu uz ...</td>\n",
       "      <td>kadu karstu vakaru padova vini pacela vinu uz ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Lithuanian</td>\n",
       "      <td>lt</td>\n",
       "      <td>Vieną karštą vakarą Paduvoje jie pakėlė jį ant...</td>\n",
       "      <td>Vieną karštą vakarą Paduvoje jie pakėlė jį ant...</td>\n",
       "      <td>Viena karsta vakara Paduvoje jie pakele ji ant...</td>\n",
       "      <td>viena karsta vakara paduvoje jie pakele ji ant...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Macedonian</td>\n",
       "      <td>mk</td>\n",
       "      <td>Една жешка вечер во Падова го однесоа на покри...</td>\n",
       "      <td>Edna zheshka vecher vo Padova go odnesoa na po...</td>\n",
       "      <td>Edna zheshka vecher vo Padova go odnesoa na po...</td>\n",
       "      <td>edna zheshka vecher vo padova go odnesoa na po...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Norwegian</td>\n",
       "      <td>no</td>\n",
       "      <td>En varm kveld i Padua bar de ham opp på taket,...</td>\n",
       "      <td>En varm kveld i Padua bar de ham opp på taket,...</td>\n",
       "      <td>En varm kveld i Padua bar de ham opp pa taket,...</td>\n",
       "      <td>en varm kveld i padua bar de ham opp pa taket ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Polish</td>\n",
       "      <td>pl</td>\n",
       "      <td>Pewnego upalnego wieczoru w Padwie wnieśli go ...</td>\n",
       "      <td>Pewnego upalnego wieczoru w Padwie wnieśli go ...</td>\n",
       "      <td>Pewnego upalnego wieczoru w Padwie wniesli go ...</td>\n",
       "      <td>pewnego upalnego wieczoru w padwie wniesli go ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Portuguese</td>\n",
       "      <td>pt</td>\n",
       "      <td>Em uma noite quente em Pádua, eles o carregara...</td>\n",
       "      <td>Em uma noite quente em Pádua, eles o carregara...</td>\n",
       "      <td>Em uma noite quente em Padua, eles o carregara...</td>\n",
       "      <td>em uma noite quente em padua eles o carregaram...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Romanian</td>\n",
       "      <td>ro</td>\n",
       "      <td>Într-o seară fierbinte, în Padova, l-au dus pe...</td>\n",
       "      <td>Într-o seară fierbinte, în Padova, l-au dus pe...</td>\n",
       "      <td>Intr-o seara fierbinte, in Padova, l-au dus pe...</td>\n",
       "      <td>intro seara fierbinte in padova lau dus pe aco...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Russian</td>\n",
       "      <td>ru</td>\n",
       "      <td>Однажды жарким вечером в Падуе его вынесли на ...</td>\n",
       "      <td>Odnazhdy zharkim vecherom v Padue ego vynesli ...</td>\n",
       "      <td>Odnazhdy zharkim vecherom v Padue ego vynesli ...</td>\n",
       "      <td>odnazhdy zharkim vecherom v padue ego vynesli ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Serbian</td>\n",
       "      <td>sr</td>\n",
       "      <td>Једне вреле вечери у Падови однели су га на кр...</td>\n",
       "      <td>Jedne vrele večeri u Padovi odneli su ga na kr...</td>\n",
       "      <td>Jedne vrele veceri u Padovi odneli su ga na kr...</td>\n",
       "      <td>jedne vrele veceri u padovi odneli su ga na kr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Slovak</td>\n",
       "      <td>sk</td>\n",
       "      <td>Jedného horúceho večera v Padove ho vyniesli n...</td>\n",
       "      <td>Jedného horúceho večera v Padove ho vyniesli n...</td>\n",
       "      <td>Jedneho horuceho vecera v Padove ho vyniesli n...</td>\n",
       "      <td>jedneho horuceho vecera v padove ho vyniesli n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Slovenian</td>\n",
       "      <td>sl</td>\n",
       "      <td>Nekega vročega večera v Padovi so ga odnesli n...</td>\n",
       "      <td>Nekega vročega večera v Padovi so ga odnesli n...</td>\n",
       "      <td>Nekega vrocega vecera v Padovi so ga odnesli n...</td>\n",
       "      <td>nekega vrocega vecera v padovi so ga odnesli n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Spanish</td>\n",
       "      <td>es</td>\n",
       "      <td>Una tarde calurosa en Padua lo subieron al tej...</td>\n",
       "      <td>Una tarde calurosa en Padua lo subieron al tej...</td>\n",
       "      <td>Una tarde calurosa en Padua lo subieron al tej...</td>\n",
       "      <td>una tarde calurosa en padua lo subieron al tej...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Swedish</td>\n",
       "      <td>sv</td>\n",
       "      <td>En varm kväll i Padua bar de upp honom på take...</td>\n",
       "      <td>En varm kväll i Padua bar de upp honom på take...</td>\n",
       "      <td>En varm kvall i Padua bar de upp honom pa take...</td>\n",
       "      <td>en varm kvall i padua bar de upp honom pa take...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Turkish</td>\n",
       "      <td>tr</td>\n",
       "      <td>Padua'da sıcak bir akşam onu ​​çatıya taşıdıla...</td>\n",
       "      <td>Padua'da sıcak bir akşam onu ​​çatıya taşıdıla...</td>\n",
       "      <td>Padua'da sicak bir aksam onu   catiya tasidila...</td>\n",
       "      <td>paduada sicak bir aksam onu   catiya tasidilar...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Ukrainian</td>\n",
       "      <td>uk</td>\n",
       "      <td>Одного спекотного вечора в Падуї вони винесли ...</td>\n",
       "      <td>Odnoho spekotnoho vechora v Paduyi vony vynesl...</td>\n",
       "      <td>Odnoho spekotnoho vechora v Paduyi vony vynesl...</td>\n",
       "      <td>odnoho spekotnoho vechora v paduyi vony vynesl...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Language ISO_Code  \\\n",
       "0            Albanian       sq   \n",
       "1           Bulgarian       bg   \n",
       "2            Croatian       hr   \n",
       "3               Czech       cs   \n",
       "4              Danish       da   \n",
       "5               Dutch       nl   \n",
       "6             English       en   \n",
       "7            Estonian       et   \n",
       "8             Finnish       fi   \n",
       "9              French       fr   \n",
       "10             German       de   \n",
       "11              Greek       el   \n",
       "12          Hungarian       hu   \n",
       "13          Icelandic       is   \n",
       "14            Italian       it   \n",
       "15  Latvian (Lettish)       lv   \n",
       "16         Lithuanian       lt   \n",
       "17         Macedonian       mk   \n",
       "18          Norwegian       no   \n",
       "19             Polish       pl   \n",
       "20         Portuguese       pt   \n",
       "21           Romanian       ro   \n",
       "22            Russian       ru   \n",
       "23            Serbian       sr   \n",
       "24             Slovak       sk   \n",
       "25          Slovenian       sl   \n",
       "26            Spanish       es   \n",
       "27            Swedish       sv   \n",
       "28            Turkish       tr   \n",
       "29          Ukrainian       uk   \n",
       "\n",
       "                                                 Text  \\\n",
       "0   Një mbrëmje të nxehtë në Padova e çuan atë mbi...   \n",
       "1   Една гореща вечер в Падуа го изнесоха на покри...   \n",
       "2   Jedne vruće večeri u Padovi odnijeli su ga na ...   \n",
       "3   Jednoho horkého večera v Padově ho vynesli na ...   \n",
       "4   En varm aften i Padua bar de ham op på taget, ...   \n",
       "5   Op een hete avond in Padua droegen ze hem het ...   \n",
       "6   One hot evening in Padua they carried him up o...   \n",
       "7   Ühel kuumal õhtul Padovas viisid nad ta katuse...   \n",
       "8   Eräänä kuumana iltana Padovassa he veivät häne...   \n",
       "9   Par une chaude soirée à Padoue, ils le portère...   \n",
       "10  An einem heißen Abend in Padua trugen sie ihn ...   \n",
       "11  Ένα καυτό βράδυ στην Πάντοβα τον ανέβασαν στην...   \n",
       "12  Egy forró estén Padovában felvitték a tetőre, ...   \n",
       "13  Eitt heitt kvöld í Padua báru þeir hann upp á ...   \n",
       "14  Una calda sera di Padova lo portarono sul tett...   \n",
       "15  Kādu karstu vakaru Padovā viņi pacēla viņu uz ...   \n",
       "16  Vieną karštą vakarą Paduvoje jie pakėlė jį ant...   \n",
       "17  Една жешка вечер во Падова го однесоа на покри...   \n",
       "18  En varm kveld i Padua bar de ham opp på taket,...   \n",
       "19  Pewnego upalnego wieczoru w Padwie wnieśli go ...   \n",
       "20  Em uma noite quente em Pádua, eles o carregara...   \n",
       "21  Într-o seară fierbinte, în Padova, l-au dus pe...   \n",
       "22  Однажды жарким вечером в Падуе его вынесли на ...   \n",
       "23  Једне вреле вечери у Падови однели су га на кр...   \n",
       "24  Jedného horúceho večera v Padove ho vyniesli n...   \n",
       "25  Nekega vročega večera v Padovi so ga odnesli n...   \n",
       "26  Una tarde calurosa en Padua lo subieron al tej...   \n",
       "27  En varm kväll i Padua bar de upp honom på take...   \n",
       "28  Padua'da sıcak bir akşam onu ​​çatıya taşıdıla...   \n",
       "29  Одного спекотного вечора в Падуї вони винесли ...   \n",
       "\n",
       "                                      Transliteration  \\\n",
       "0   Një mbrëmje të nxehtë në Padova e çuan atë mbi...   \n",
       "1   Edna goreshta vecher v Padua go iznesoha na po...   \n",
       "2   Jedne vruće večeri u Padovi odnijeli su ga na ...   \n",
       "3   Jednoho horkého večera v Padově ho vynesli na ...   \n",
       "4   En varm aften i Padua bar de ham op på taget, ...   \n",
       "5   Op een hete avond in Padua droegen ze hem het ...   \n",
       "6   One hot evening in Padua they carried him up o...   \n",
       "7   Ühel kuumal õhtul Padovas viisid nad ta katuse...   \n",
       "8   Eräänä kuumana iltana Padovassa he veivät häne...   \n",
       "9   Par une chaude soirée à Padoue, ils le portère...   \n",
       "10  An einem heißen Abend in Padua trugen sie ihn ...   \n",
       "11  Έna kauto vradu stin Pantova ton anevasan stin...   \n",
       "12  Egy forró estén Padovában felvitték a tetőre, ...   \n",
       "13  Eitt heitt kvöld í Padua báru þeir hann upp á ...   \n",
       "14  Una calda sera di Padova lo portarono sul tett...   \n",
       "15  Kādu karstu vakaru Padovā viņi pacēla viņu uz ...   \n",
       "16  Vieną karštą vakarą Paduvoje jie pakėlė jį ant...   \n",
       "17  Edna zheshka vecher vo Padova go odnesoa na po...   \n",
       "18  En varm kveld i Padua bar de ham opp på taket,...   \n",
       "19  Pewnego upalnego wieczoru w Padwie wnieśli go ...   \n",
       "20  Em uma noite quente em Pádua, eles o carregara...   \n",
       "21  Într-o seară fierbinte, în Padova, l-au dus pe...   \n",
       "22  Odnazhdy zharkim vecherom v Padue ego vynesli ...   \n",
       "23  Jedne vrele večeri u Padovi odneli su ga na kr...   \n",
       "24  Jedného horúceho večera v Padove ho vyniesli n...   \n",
       "25  Nekega vročega večera v Padovi so ga odnesli n...   \n",
       "26  Una tarde calurosa en Padua lo subieron al tej...   \n",
       "27  En varm kväll i Padua bar de upp honom på take...   \n",
       "28  Padua'da sıcak bir akşam onu ​​çatıya taşıdıla...   \n",
       "29  Odnoho spekotnoho vechora v Paduyi vony vynesl...   \n",
       "\n",
       "                                                ASCII  \\\n",
       "0   Nje mbremje te nxehte ne Padova e cuan ate mbi...   \n",
       "1   Edna goreshta vecher v Padua go iznesoha na po...   \n",
       "2   Jedne vruce veceri u Padovi odnijeli su ga na ...   \n",
       "3   Jednoho horkeho vecera v Padove ho vynesli na ...   \n",
       "4   En varm aften i Padua bar de ham op pa taget, ...   \n",
       "5   Op een hete avond in Padua droegen ze hem het ...   \n",
       "6   One hot evening in Padua they carried him up o...   \n",
       "7   Uhel kuumal ohtul Padovas viisid nad ta katuse...   \n",
       "8   Eraana kuumana iltana Padovassa he veivat hane...   \n",
       "9   Par une chaude soiree a Padoue, ils le portere...   \n",
       "10  An einem heissen Abend in Padua trugen sie ihn...   \n",
       "11  Ena kauto vradu stin Pantova ton anevasan stin...   \n",
       "12  Egy forro esten Padovaban felvittek a tetore, ...   \n",
       "13  Eitt heitt kvold i Padua baru their hann upp a...   \n",
       "14  Una calda sera di Padova lo portarono sul tett...   \n",
       "15  Kadu karstu vakaru Padova vini pacela vinu uz ...   \n",
       "16  Viena karsta vakara Paduvoje jie pakele ji ant...   \n",
       "17  Edna zheshka vecher vo Padova go odnesoa na po...   \n",
       "18  En varm kveld i Padua bar de ham opp pa taket,...   \n",
       "19  Pewnego upalnego wieczoru w Padwie wniesli go ...   \n",
       "20  Em uma noite quente em Padua, eles o carregara...   \n",
       "21  Intr-o seara fierbinte, in Padova, l-au dus pe...   \n",
       "22  Odnazhdy zharkim vecherom v Padue ego vynesli ...   \n",
       "23  Jedne vrele veceri u Padovi odneli su ga na kr...   \n",
       "24  Jedneho horuceho vecera v Padove ho vyniesli n...   \n",
       "25  Nekega vrocega vecera v Padovi so ga odnesli n...   \n",
       "26  Una tarde calurosa en Padua lo subieron al tej...   \n",
       "27  En varm kvall i Padua bar de upp honom pa take...   \n",
       "28  Padua'da sicak bir aksam onu   catiya tasidila...   \n",
       "29  Odnoho spekotnoho vechora v Paduyi vony vynesl...   \n",
       "\n",
       "                                              Reduced  \n",
       "0   nje mbremje te nxehte ne padova e cuan ate mbi...  \n",
       "1   edna goreshta vecher v padua go iznesoha na po...  \n",
       "2   jedne vruce veceri u padovi odnijeli su ga na ...  \n",
       "3   jednoho horkeho vecera v padove ho vynesli na ...  \n",
       "4   en varm aften i padua bar de ham op pa taget o...  \n",
       "5   op een hete avond in padua droegen ze hem het ...  \n",
       "6   one hot evening in padua they carried him up o...  \n",
       "7   uhel kuumal ohtul padovas viisid nad ta katuse...  \n",
       "8   eraana kuumana iltana padovassa he veivat hane...  \n",
       "9   par une chaude soiree a padoue ils le porteren...  \n",
       "10  an einem heissen abend in padua trugen sie ihn...  \n",
       "11  ena kauto vradu stin pantova ton anevasan stin...  \n",
       "12  egy forro esten padovaban felvittek a tetore e...  \n",
       "13  eitt heitt kvold i padua baru their hann upp a...  \n",
       "14  una calda sera di padova lo portarono sul tett...  \n",
       "15  kadu karstu vakaru padova vini pacela vinu uz ...  \n",
       "16  viena karsta vakara paduvoje jie pakele ji ant...  \n",
       "17  edna zheshka vecher vo padova go odnesoa na po...  \n",
       "18  en varm kveld i padua bar de ham opp pa taket ...  \n",
       "19  pewnego upalnego wieczoru w padwie wniesli go ...  \n",
       "20  em uma noite quente em padua eles o carregaram...  \n",
       "21  intro seara fierbinte in padova lau dus pe aco...  \n",
       "22  odnazhdy zharkim vecherom v padue ego vynesli ...  \n",
       "23  jedne vrele veceri u padovi odneli su ga na kr...  \n",
       "24  jedneho horuceho vecera v padove ho vyniesli n...  \n",
       "25  nekega vrocega vecera v padovi so ga odnesli n...  \n",
       "26  una tarde calurosa en padua lo subieron al tej...  \n",
       "27  en varm kvall i padua bar de upp honom pa take...  \n",
       "28  paduada sicak bir aksam onu   catiya tasidilar...  \n",
       "29  odnoho spekotnoho vechora v paduyi vony vynesl...  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "uzorak"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42a57e13",
   "metadata": {},
   "source": [
    "Sada u koloni __Reduced__ imamo prilično sveden tekst napisan koristeći najmanji smileni skup znakova. U sledećoj fazi bi trebalo da napravimo frekvencijsku analizu, tj. da utvrdimo koliko se puta koje slovo pojavljuje u kom jeziku. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c89d51cb",
   "metadata": {},
   "source": [
    "## Statistika frekvencije slova"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10aefd4a",
   "metadata": {},
   "source": [
    "Imajući u vidu da iz teksta nismo isključili razmake (jer bi nam bez toga _scriptio continua_ bila sasvim nečitljiva) u statistiku ćemo uključiti i broj pojavljivanja razmaka. String __slova__ ćemo početi razmakom i dodati mu sva mala slova engleskog alfabeta, odnosno znake kojima odgovaraju ASCII kodovi od 97 do 123."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "150d35da",
   "metadata": {},
   "outputs": [],
   "source": [
    "slova=[' ']\n",
    "for i in range(97,123):\n",
    "    slova.append(chr(i))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "d845fc15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[' ',\n",
       " 'a',\n",
       " 'b',\n",
       " 'c',\n",
       " 'd',\n",
       " 'e',\n",
       " 'f',\n",
       " 'g',\n",
       " 'h',\n",
       " 'i',\n",
       " 'j',\n",
       " 'k',\n",
       " 'l',\n",
       " 'm',\n",
       " 'n',\n",
       " 'o',\n",
       " 'p',\n",
       " 'q',\n",
       " 'r',\n",
       " 's',\n",
       " 't',\n",
       " 'u',\n",
       " 'v',\n",
       " 'w',\n",
       " 'x',\n",
       " 'y',\n",
       " 'z']"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "slova"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "356f125c",
   "metadata": {},
   "source": [
    "Ovu listu ćemo pretvoriti u tabelu u kojoj svaka kolona odgovara jednom znaku. U svaku novu vrstu ove tabele ćemo unositi frekvencije za odgovarajuće jezike kada ih budemo izračunali pomoću funkcije `value_counts()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "c4cf9a75",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.DataFrame(columns=slova)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "26daf8f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>a</th>\n",
       "      <th>b</th>\n",
       "      <th>c</th>\n",
       "      <th>d</th>\n",
       "      <th>e</th>\n",
       "      <th>f</th>\n",
       "      <th>g</th>\n",
       "      <th>h</th>\n",
       "      <th>i</th>\n",
       "      <th>...</th>\n",
       "      <th>q</th>\n",
       "      <th>r</th>\n",
       "      <th>s</th>\n",
       "      <th>t</th>\n",
       "      <th>u</th>\n",
       "      <th>v</th>\n",
       "      <th>w</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>0 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [ , a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t, u, v, w, x, y, z]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 27 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "dfee7887",
   "metadata": {},
   "outputs": [],
   "source": [
    "for code in lista:\n",
    "    text=list(uzorak[uzorak['ISO_Code']==code]['Reduced'])[0]\n",
    "    serija=pd.Series(list(text)).value_counts()\n",
    "    for slovo in slova:\n",
    "        if slovo in serija:\n",
    "            df.loc[code,slovo]=serija[slovo]\n",
    "        else:\n",
    "            df.loc[code,slovo]=0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "3df95dd1",
   "metadata": {},
   "outputs": [
    {
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       "      <td>72</td>\n",
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       "      <td>11</td>\n",
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       "      <td>589</td>\n",
       "      <td>195</td>\n",
       "      <td>55</td>\n",
       "      <td>81</td>\n",
       "      <td>137</td>\n",
       "      <td>463</td>\n",
       "      <td>46</td>\n",
       "      <td>48</td>\n",
       "      <td>139</td>\n",
       "      <td>231</td>\n",
       "      <td>...</td>\n",
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       "      <td>201</td>\n",
       "      <td>189</td>\n",
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       "      <td>22</td>\n",
       "      <td>51</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>35</td>\n",
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       "      <td>10</td>\n",
       "      <td>41</td>\n",
       "      <td>33</td>\n",
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       "      <td>338</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>12</td>\n",
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       "      <td>27</td>\n",
       "      <td>155</td>\n",
       "      <td>...</td>\n",
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       "      <td>16</td>\n",
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       "      <td>17</td>\n",
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       "      <td>0</td>\n",
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       "      <td>34</td>\n",
       "      <td>230</td>\n",
       "      <td>...</td>\n",
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       "      <td>64</td>\n",
       "      <td>195</td>\n",
       "      <td>197</td>\n",
       "      <td>168</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
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       "    <tr>\n",
       "      <th>hr</th>\n",
       "      <td>573</td>\n",
       "      <td>262</td>\n",
       "      <td>53</td>\n",
       "      <td>61</td>\n",
       "      <td>82</td>\n",
       "      <td>214</td>\n",
       "      <td>2</td>\n",
       "      <td>40</td>\n",
       "      <td>16</td>\n",
       "      <td>261</td>\n",
       "      <td>...</td>\n",
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       "      <td>94</td>\n",
       "      <td>105</td>\n",
       "      <td>77</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>61</td>\n",
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       "      <td>39</td>\n",
       "      <td>15</td>\n",
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       "      <td>305</td>\n",
       "      <td>19</td>\n",
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       "      <td>96</td>\n",
       "      <td>...</td>\n",
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       "      <td>200</td>\n",
       "      <td>64</td>\n",
       "      <td>54</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>68</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fi</th>\n",
       "      <td>455</td>\n",
       "      <td>516</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>17</td>\n",
       "      <td>191</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>92</td>\n",
       "      <td>304</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>156</td>\n",
       "      <td>270</td>\n",
       "      <td>123</td>\n",
       "      <td>77</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fr</th>\n",
       "      <td>652</td>\n",
       "      <td>294</td>\n",
       "      <td>31</td>\n",
       "      <td>56</td>\n",
       "      <td>83</td>\n",
       "      <td>438</td>\n",
       "      <td>17</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>236</td>\n",
       "      <td>...</td>\n",
       "      <td>36</td>\n",
       "      <td>192</td>\n",
       "      <td>204</td>\n",
       "      <td>244</td>\n",
       "      <td>192</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>is</th>\n",
       "      <td>586</td>\n",
       "      <td>305</td>\n",
       "      <td>24</td>\n",
       "      <td>3</td>\n",
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       "      <td>176</td>\n",
       "      <td>73</td>\n",
       "      <td>101</td>\n",
       "      <td>138</td>\n",
       "      <td>263</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>182</td>\n",
       "      <td>95</td>\n",
       "      <td>170</td>\n",
       "      <td>161</td>\n",
       "      <td>74</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>it</th>\n",
       "      <td>572</td>\n",
       "      <td>319</td>\n",
       "      <td>33</td>\n",
       "      <td>94</td>\n",
       "      <td>75</td>\n",
       "      <td>323</td>\n",
       "      <td>22</td>\n",
       "      <td>31</td>\n",
       "      <td>25</td>\n",
       "      <td>222</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>185</td>\n",
       "      <td>165</td>\n",
       "      <td>192</td>\n",
       "      <td>89</td>\n",
       "      <td>71</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lt</th>\n",
       "      <td>447</td>\n",
       "      <td>281</td>\n",
       "      <td>39</td>\n",
       "      <td>11</td>\n",
       "      <td>57</td>\n",
       "      <td>188</td>\n",
       "      <td>1</td>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "      <td>369</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>126</td>\n",
       "      <td>180</td>\n",
       "      <td>138</td>\n",
       "      <td>141</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lv</th>\n",
       "      <td>488</td>\n",
       "      <td>390</td>\n",
       "      <td>50</td>\n",
       "      <td>38</td>\n",
       "      <td>71</td>\n",
       "      <td>200</td>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>321</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>106</td>\n",
       "      <td>191</td>\n",
       "      <td>141</td>\n",
       "      <td>159</td>\n",
       "      <td>120</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mk</th>\n",
       "      <td>565</td>\n",
       "      <td>342</td>\n",
       "      <td>43</td>\n",
       "      <td>27</td>\n",
       "      <td>123</td>\n",
       "      <td>263</td>\n",
       "      <td>4</td>\n",
       "      <td>52</td>\n",
       "      <td>85</td>\n",
       "      <td>182</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>96</td>\n",
       "      <td>144</td>\n",
       "      <td>141</td>\n",
       "      <td>54</td>\n",
       "      <td>99</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nl</th>\n",
       "      <td>645</td>\n",
       "      <td>249</td>\n",
       "      <td>29</td>\n",
       "      <td>24</td>\n",
       "      <td>144</td>\n",
       "      <td>531</td>\n",
       "      <td>24</td>\n",
       "      <td>76</td>\n",
       "      <td>108</td>\n",
       "      <td>168</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>153</td>\n",
       "      <td>88</td>\n",
       "      <td>176</td>\n",
       "      <td>57</td>\n",
       "      <td>46</td>\n",
       "      <td>54</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no</th>\n",
       "      <td>612</td>\n",
       "      <td>224</td>\n",
       "      <td>38</td>\n",
       "      <td>3</td>\n",
       "      <td>109</td>\n",
       "      <td>371</td>\n",
       "      <td>49</td>\n",
       "      <td>93</td>\n",
       "      <td>71</td>\n",
       "      <td>119</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>139</td>\n",
       "      <td>98</td>\n",
       "      <td>199</td>\n",
       "      <td>59</td>\n",
       "      <td>76</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pl</th>\n",
       "      <td>518</td>\n",
       "      <td>231</td>\n",
       "      <td>51</td>\n",
       "      <td>109</td>\n",
       "      <td>92</td>\n",
       "      <td>236</td>\n",
       "      <td>2</td>\n",
       "      <td>36</td>\n",
       "      <td>23</td>\n",
       "      <td>264</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>86</td>\n",
       "      <td>106</td>\n",
       "      <td>76</td>\n",
       "      <td>55</td>\n",
       "      <td>0</td>\n",
       "      <td>96</td>\n",
       "      <td>0</td>\n",
       "      <td>97</td>\n",
       "      <td>178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pt</th>\n",
       "      <td>571</td>\n",
       "      <td>394</td>\n",
       "      <td>27</td>\n",
       "      <td>92</td>\n",
       "      <td>102</td>\n",
       "      <td>394</td>\n",
       "      <td>22</td>\n",
       "      <td>21</td>\n",
       "      <td>23</td>\n",
       "      <td>129</td>\n",
       "      <td>...</td>\n",
       "      <td>34</td>\n",
       "      <td>168</td>\n",
       "      <td>198</td>\n",
       "      <td>111</td>\n",
       "      <td>123</td>\n",
       "      <td>53</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ro</th>\n",
       "      <td>621</td>\n",
       "      <td>420</td>\n",
       "      <td>36</td>\n",
       "      <td>126</td>\n",
       "      <td>75</td>\n",
       "      <td>237</td>\n",
       "      <td>28</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "      <td>288</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>170</td>\n",
       "      <td>198</td>\n",
       "      <td>213</td>\n",
       "      <td>174</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ru</th>\n",
       "      <td>529</td>\n",
       "      <td>228</td>\n",
       "      <td>53</td>\n",
       "      <td>47</td>\n",
       "      <td>71</td>\n",
       "      <td>184</td>\n",
       "      <td>1</td>\n",
       "      <td>41</td>\n",
       "      <td>111</td>\n",
       "      <td>188</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>103</td>\n",
       "      <td>131</td>\n",
       "      <td>156</td>\n",
       "      <td>79</td>\n",
       "      <td>92</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sr</th>\n",
       "      <td>578</td>\n",
       "      <td>279</td>\n",
       "      <td>49</td>\n",
       "      <td>57</td>\n",
       "      <td>93</td>\n",
       "      <td>220</td>\n",
       "      <td>3</td>\n",
       "      <td>38</td>\n",
       "      <td>14</td>\n",
       "      <td>246</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>95</td>\n",
       "      <td>128</td>\n",
       "      <td>85</td>\n",
       "      <td>111</td>\n",
       "      <td>75</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sk</th>\n",
       "      <td>493</td>\n",
       "      <td>262</td>\n",
       "      <td>55</td>\n",
       "      <td>77</td>\n",
       "      <td>83</td>\n",
       "      <td>175</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>54</td>\n",
       "      <td>167</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>79</td>\n",
       "      <td>107</td>\n",
       "      <td>116</td>\n",
       "      <td>64</td>\n",
       "      <td>87</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>44</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sl</th>\n",
       "      <td>561</td>\n",
       "      <td>220</td>\n",
       "      <td>56</td>\n",
       "      <td>39</td>\n",
       "      <td>82</td>\n",
       "      <td>242</td>\n",
       "      <td>3</td>\n",
       "      <td>29</td>\n",
       "      <td>23</td>\n",
       "      <td>235</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>94</td>\n",
       "      <td>127</td>\n",
       "      <td>83</td>\n",
       "      <td>51</td>\n",
       "      <td>90</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sv</th>\n",
       "      <td>599</td>\n",
       "      <td>348</td>\n",
       "      <td>39</td>\n",
       "      <td>50</td>\n",
       "      <td>134</td>\n",
       "      <td>273</td>\n",
       "      <td>60</td>\n",
       "      <td>78</td>\n",
       "      <td>106</td>\n",
       "      <td>124</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>160</td>\n",
       "      <td>108</td>\n",
       "      <td>241</td>\n",
       "      <td>53</td>\n",
       "      <td>61</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sq</th>\n",
       "      <td>650</td>\n",
       "      <td>215</td>\n",
       "      <td>17</td>\n",
       "      <td>9</td>\n",
       "      <td>102</td>\n",
       "      <td>500</td>\n",
       "      <td>11</td>\n",
       "      <td>27</td>\n",
       "      <td>148</td>\n",
       "      <td>192</td>\n",
       "      <td>...</td>\n",
       "      <td>22</td>\n",
       "      <td>166</td>\n",
       "      <td>129</td>\n",
       "      <td>255</td>\n",
       "      <td>114</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>18</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tr</th>\n",
       "      <td>414</td>\n",
       "      <td>308</td>\n",
       "      <td>70</td>\n",
       "      <td>46</td>\n",
       "      <td>144</td>\n",
       "      <td>258</td>\n",
       "      <td>3</td>\n",
       "      <td>54</td>\n",
       "      <td>27</td>\n",
       "      <td>294</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>147</td>\n",
       "      <td>113</td>\n",
       "      <td>81</td>\n",
       "      <td>126</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>66</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uk</th>\n",
       "      <td>517</td>\n",
       "      <td>252</td>\n",
       "      <td>53</td>\n",
       "      <td>64</td>\n",
       "      <td>76</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>194</td>\n",
       "      <td>167</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>98</td>\n",
       "      <td>152</td>\n",
       "      <td>112</td>\n",
       "      <td>124</td>\n",
       "      <td>150</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>184</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>30 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           a   b    c    d    e   f    g    h    i  ...   q    r    s    t  \\\n",
       "bg  566  386  47   33   95  248   1   51  133  177  ...   0  111  166  172   \n",
       "cs  495  202  54   69   96  234   2    1   54  162  ...   0   74  106  110   \n",
       "da  615  228  34    3  154  406  66  114   72  147  ...   0  145   93  184   \n",
       "de  589  195  55   81  137  463  46   48  139  231  ...   1  201  189  167   \n",
       "el  555  350  10   41   33  256  12   45   70  338  ...   0  118  175  261   \n",
       "en  632  203  59   38  115  330  40   54  187  142  ...   4  141   96  283   \n",
       "es  591  373  57   98  113  345  12   19   27  155  ...  27  184  176  104   \n",
       "et  482  376  17    3  130  228   0   37   34  230  ...   0   64  195  197   \n",
       "hr  573  262  53   61   82  214   2   40   16  261  ...   0   95  129   94   \n",
       "hu  445  290  39   15   48  305  19   81   60   96  ...   0   91  149  200   \n",
       "fi  455  516   0    3   17  191   0    9   92  304  ...   0   42  156  270   \n",
       "fr  652  294  31   56   83  438  17   10   13  236  ...  36  192  204  244   \n",
       "is  586  305  24    3  163  176  73  101  138  263  ...   0  182   95  170   \n",
       "it  572  319  33   94   75  323  22   31   25  222  ...   7  185  165  192   \n",
       "lt  447  281  39   11   57  188   1   48    0  369  ...   0  126  180  138   \n",
       "lv  488  390  50   38   71  200   1   28    0  321  ...   0  106  191  141   \n",
       "mk  565  342  43   27  123  263   4   52   85  182  ...   0   96  144  141   \n",
       "nl  645  249  29   24  144  531  24   76  108  168  ...   0  153   88  176   \n",
       "no  612  224  38    3  109  371  49   93   71  119  ...   0  139   98  199   \n",
       "pl  518  231  51  109   92  236   2   36   23  264  ...   0   86  106   76   \n",
       "pt  571  394  27   92  102  394  22   21   23  129  ...  34  168  198  111   \n",
       "ro  621  420  36  126   75  237  28   18    3  288  ...   0  170  198  213   \n",
       "ru  529  228  53   47   71  184   1   41  111  188  ...   0  103  131  156   \n",
       "sr  578  279  49   57   93  220   3   38   14  246  ...   0   95  128   85   \n",
       "sk  493  262  55   77   83  175   3    1   54  167  ...   0   79  107  116   \n",
       "sl  561  220  56   39   82  242   3   29   23  235  ...   0   94  127   83   \n",
       "sv  599  348  39   50  134  273  60   78  106  124  ...   0  160  108  241   \n",
       "sq  650  215  17    9  102  500  11   27  148  192  ...  22  166  129  255   \n",
       "tr  414  308  70   46  144  258   3   54   27  294  ...   0  147  113   81   \n",
       "uk  517  252  53   64   76  100   2    0  194  167  ...   0   98  152  112   \n",
       "\n",
       "      u    v   w  x    y    z  \n",
       "bg   46   90   0  0   71   90  \n",
       "cs   67   76   1  1   68   60  \n",
       "da   55   79   1  1   11   11  \n",
       "de  144   22  51  1    1   35  \n",
       "el   36   25   4  9   68   17  \n",
       "en   69   15  64  3   58   12  \n",
       "es  119   31   0  2   36   16  \n",
       "et  168   39   1  0    1   12  \n",
       "hr  105   77   1  0    1   61  \n",
       "hu   64   54   1  1   68  110  \n",
       "fi  123   77   1  0   46   11  \n",
       "fr  192   55   1  7    7   14  \n",
       "is  161   74   1  1   24   11  \n",
       "it   89   71   1  1    1   27  \n",
       "lt  141   63   0  0   13   32  \n",
       "lv  159  120   0  0    0   60  \n",
       "mk   54   99   2  0    1   77  \n",
       "nl   57   46  54  1    2   76  \n",
       "no   59   76   1  0   14   11  \n",
       "pl   55    0  96  0   97  178  \n",
       "pt  123   53   0  3    1   15  \n",
       "ro  174   31   1  2    1   20  \n",
       "ru   79   92   0  0   44   72  \n",
       "sr  111   75   0  0    0   61  \n",
       "sk   64   87   1  1   44   65  \n",
       "sl   51   90   1  0    1   63  \n",
       "sv   53   61   1  1    6   11  \n",
       "sq  114   22   0  5   18   21  \n",
       "tr  126   55   1  0   66   36  \n",
       "uk  124  150   0  0  184   88  \n",
       "\n",
       "[30 rows x 27 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef59a6e1",
   "metadata": {},
   "source": [
    "U tabeli __df__ su frekvencije razmaka i svih slova. To je ono što smo tražili, ali je ovako velika tabela ipak nepregledna za izvođenje bilo kakvih smislenih zaključaka. Biće bolje da ove podatke grafički prikažemo. Za \"kondenzovani\" prikaz zgodan grafikon tipa _sparklines_."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "d3923a82",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sparklines import sparklines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "e850aee7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bg \t █▂▂▃▅▁▂▃▄▁▂▂▂▃▅▂▁▃▄▄▂▃▁▁▂▃\n",
      "cs \t ▇▃▃▄█▁▁▃▆▂▂▆▃▅▇▃▁▃▄▄▃▃▁▁▃▃\n",
      "da \t ▅▂▁▄█▂▃▂▄▁▃▃▂▄▃▂▁▄▃▄▂▂▁▁▁▁\n",
      "de \t ▄▂▂▃█▂▂▃▄▁▂▂▂▆▂▁▁▄▄▄▃▁▂▁▁▂\n",
      "el \t █▁▂▂▆▁▂▂█▁▃▃▂▅▇▃▁▃▄▆▂▂▁▁▂▁\n",
      "en \t ▅▂▂▃█▂▂▅▄▁▁▃▂▅▅▂▁▄▃▇▂▁▂▁▂▁\n",
      "es \t █▂▃▃▇▁▁▂▄▁▁▄▂▅▆▂▂▄▄▃▃▂▁▁▂▁\n",
      "et \t █▁▁▃▅▁▂▂▅▂▃▄▂▃▃▂▁▂▅▅▄▂▁▁▁▁\n",
      "hr \t █▂▃▃▇▁▂▁█▅▃▄▃▄█▂▁▃▄▃▄▃▁▁▁▃\n",
      "hu \t █▂▁▂█▁▃▂▃▂▄▄▃▅▅▁▁▃▄▆▂▂▁▁▃▄\n",
      "fi \t █▁▁▁▄▁▁▂▅▂▃▃▂▄▃▂▁▂▃▅▃▂▁▁▂▁\n",
      "fr \t ▆▁▂▂█▁▁▁▅▁▁▄▂▄▃▂▂▄▄▅▄▂▁▁▁▁\n",
      "is \t █▂▁▅▅▃▃▄▇▂▃▃▃▆▄▁▁▅▃▅▅▃▁▁▂▁\n",
      "it \t █▂▃▃█▁▂▂▆▁▁▄▂▅▇▃▁▅▅▅▃▃▁▁▁▂\n",
      "lt \t ▆▂▁▂▅▁▂▁█▃▃▂▂▃▄▂▁▃▄▄▄▂▁▁▁▂\n",
      "lv \t █▂▂▂▅▁▂▁▇▂▃▃▂▄▂▂▁▃▄▄▄▃▁▁▁▂\n",
      "mk \t █▂▂▄▆▁▂▃▅▂▃▂▂▄▇▂▁▃▄▄▂▃▁▁▁▃\n",
      "nl \t ▄▁▁▃█▁▂▂▃▂▂▂▂▅▃▂▁▃▂▃▂▂▂▁▁▂\n",
      "no \t ▅▂▁▃█▂▃▂▃▁▃▃▂▅▄▂▁▄▃▅▂▂▁▁▁▁\n",
      "pl \t ▇▂▄▃▇▁▂▂█▂▃▅▃▅▇▃▁▃▄▃▂▁▄▁▄▆\n",
      "pt \t █▁▃▃█▁▁▁▃▁▁▃▃▃▅▂▂▄▅▃▃▂▁▁▁▁\n",
      "ro \t █▂▃▂▅▁▁▁▆▁▁▃▂▄▃▂▁▄▄▅▄▂▁▁▁▁\n",
      "ru \t ▆▂▂▂▅▁▂▃▅▃▂▄▂▅█▂▁▃▄▄▃▃▁▁▂▂\n",
      "sr \t █▂▂▃▇▁▂▁▇▄▃▄▃▄▇▂▁▃▄▃▄▃▁▁▁▃\n",
      "sk \t █▂▃▃▆▁▁▂▅▂▂▅▃▄▇▃▁▃▄▄▃▃▁▁▂▃\n",
      "sl \t ▇▃▂▃█▁▂▂█▄▃▆▃▅█▃▁▄▅▃▂▄▁▁▁▃\n",
      "sv \t █▂▂▄▆▂▃▃▃▁▃▄▃▆▄▂▁▄▃▆▂▂▁▁▁▁\n",
      "sq \t ▄▁▁▂█▁▁▃▄▂▂▂▂▄▂▂▁▃▃▅▃▁▁▁▁▁\n",
      "tr \t █▃▂▄▇▁▂▂█▁▄▄▃▅▃▂▁▄▄▃▄▂▁▁▂▂\n",
      "uk \t ▇▂▃▃▃▁▁▆▅▄▃▄▃▅█▃▁▃▅▄▄▅▁▁▆▃\n"
     ]
    }
   ],
   "source": [
    "for code in lista:\n",
    "    for line in sparklines(df.loc[code,'a':]):\n",
    "        print (code,'\\t',line)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5657fe6e",
   "metadata": {},
   "source": [
    "Ovakav prikaz nam daje mogućnost da vidimo \"otisak prsta\" za svaki jezik, ali je i dalje teško da vidimo da li su dva jezika slična. Za dalju analizu je potrebno da smislimo meru sličnosti među jezicima."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bfb22713",
   "metadata": {},
   "source": [
    "## Mera sličnosti"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a3b9196",
   "metadata": {},
   "source": [
    "Stavke sa _n_ komponenti/koordinata (kao što su jezici u ovom našem primeru) možemo da predstavimo kao tačke ili vektore u _n_-dimenzionalnom prostoru parametara. Između dve stavke u tom prostoru uvek možemo da odredimo rastojanje, odnosno meru različitosti. To ne mora da da bude euklidsko rastojanje (kvadratni koren iz zbira kvadrata razlika vektora po koordinatama). Postoje i druge metrike rastojanja, npr. _Manhattan_, Hemingova ili kosinusna. Kosinusno rastojanje je zapravo skalarni proizvod normiranih koordinata dve stavke. Skalarni proizvod dve stavke sa istim normiranim koordinatama je jedan. Što se više razlikuju stavke to skalarni proizvod manji. Zapravo, ova metrika daje meru sličnosti. Što su stavke sličnije, to je kosinusno rastojanje bliže jedinici."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "301aba38",
   "metadata": {},
   "source": [
    "Normiranje stavke, odnosno vektora kojim  je predstavljena, jeste deljenje svih koordinata sa normom stavke, odnosno euklidskom dužinom vektora. Ta dužina je koren iz zbira kvadrata svih koordinata.  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbf6619a",
   "metadata": {},
   "source": [
    "```{admonition} Napomena\n",
    "U Pajtonu se ne koristi znak `^` za stepenovanje kao u većini drugih programskih jezika. Umesto toga se koristi `**`. Kako osnovna varijanta Pajtona nema ni funkciju za kvadratni koren i tu ćemo funkciju pisati kao stepen. Pošto je $\\sqrt{x}=x^{1/2}$, onda ćemo koren pisati kao `x**.5`.   \n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "4fafd3f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# normiranje\n",
    "for i in range(len(df)):\n",
    "    norm=sum(df.iloc[i,:]**2)**.5\n",
    "    df.iloc[i,:]=df.iloc[i,:]/norm"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5807f53d",
   "metadata": {},
   "source": [
    "Normiranje je važno da bismo mogli da poredimo uzorke različite veličine. Jedna strana iz knjige na srpskom bi morala da ima skoro istu frekevenciju slova kao tekst iz cele knjige. Zato normiramo stavke."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "d1ca9f4e",
   "metadata": {},
   "outputs": [
    {
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       "      <th>f</th>\n",
       "      <th>g</th>\n",
       "      <th>h</th>\n",
       "      <th>i</th>\n",
       "      <th>...</th>\n",
       "      <th>q</th>\n",
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       "      <th>cs</th>\n",
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       "      <td>0.001099</td>\n",
       "      <td>0.012093</td>\n",
       "      <td>0.012093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>de</th>\n",
       "      <td>0.605605</td>\n",
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       "      <td>0.056551</td>\n",
       "      <td>0.083283</td>\n",
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       "      <td>0.001028</td>\n",
       "      <td>0.035987</td>\n",
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       "    <tr>\n",
       "      <th>el</th>\n",
       "      <td>0.578269</td>\n",
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       "      <td>0.042719</td>\n",
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       "</table>\n",
       "<p>5 rows × 27 columns</p>\n",
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      ],
      "text/plain": [
       "                     a         b         c         d         e         f  \\\n",
       "bg  0.642596  0.438237   0.05336  0.037466  0.107856  0.281562  0.001135   \n",
       "cs  0.685074  0.279566  0.074735  0.095495  0.132863  0.323853  0.002768   \n",
       "da  0.676127  0.250662  0.037379  0.003298  0.169307  0.446354   0.07256   \n",
       "de  0.605605  0.200497  0.056551  0.083283  0.140862  0.476053  0.047297   \n",
       "el  0.578269  0.364674  0.010419  0.042719  0.034384  0.266733  0.012503   \n",
       "\n",
       "           g         h         i  ...         q         r         s         t  \\\n",
       "bg  0.057902  0.150999  0.200953  ...       0.0  0.126022  0.188465  0.195277   \n",
       "cs  0.001384  0.074735  0.224206  ...       0.0  0.102415  0.146703  0.152239   \n",
       "da  0.125331  0.079156  0.161611  ...       0.0  0.159412  0.102244  0.202288   \n",
       "de  0.049353  0.142919  0.237512  ...  0.001028  0.206666  0.194328  0.171708   \n",
       "el  0.046887  0.072935  0.352171  ...       0.0  0.122947  0.182337  0.271943   \n",
       "\n",
       "           u         v         w         x         y         z  \n",
       "bg  0.052225   0.10218       0.0       0.0  0.080608   0.10218  \n",
       "cs  0.092727  0.105183  0.001384  0.001384  0.094111  0.083039  \n",
       "da  0.060467  0.086852  0.001099  0.001099  0.012093  0.012093  \n",
       "de   0.14806   0.02262  0.052438  0.001028  0.001028  0.035987  \n",
       "el  0.037509  0.026048  0.004168  0.009377  0.070851  0.017713  \n",
       "\n",
       "[5 rows x 27 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d10b24af",
   "metadata": {},
   "source": [
    "Sada je potrebno da definišemo funkciju koja je mera sličnosti. To će biti jednostavno sada kada su vektori već normirani. Potrebno je samo da odredimo skalarni proizvod, odnosno da saberemo proizvode koordinata za prvi i drugi vektor. Tu funkciju ćemo nazvati `similarity()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "f5805306",
   "metadata": {},
   "outputs": [],
   "source": [
    "def similarity(a,b):\n",
    "    s=sum(df.loc[a]*df.loc[b])\n",
    "    return(s)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5e5264b",
   "metadata": {},
   "source": [
    "Da vidimo, na primer, koliko su slični norveški i danski. Kažu da je to praktično isti jezik koji iz političkih razloga ima dva imena."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "ba3ae48b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9647352968035303"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "similarity('ru','uk')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43021155",
   "metadata": {},
   "source": [
    "Izgleda da su prilično slični. Sada ovo treba uraditi za svaka dva jezika iz liste. Napravićemo tabelu gde će jezici biti i po kolonama i po vrstama dok će vrednosti za sličnost dva jezika biti u tabeli, u preseku odgovarajuće vrste i kolone.\n",
    "\n",
    "Tehnička napomena: Kako bismo izbegli da kolone budu tipa _object_, tabelu na početku punimo decimalni brojevima. Konkretno, svakom elementu tabele smo pridružili \"decimalnu\" nulu, 0.0. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "910dd892",
   "metadata": {},
   "outputs": [],
   "source": [
    "sim=pd.DataFrame(.0,columns=lista,index=lista)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "dc5380ec",
   "metadata": {},
   "outputs": [
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>el</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>en</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>et</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hr</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hu</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fi</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fr</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>is</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>it</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lt</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lv</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mk</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nl</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pl</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pt</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ro</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ru</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sr</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sk</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sl</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sv</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sq</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tr</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uk</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>30 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     bg   cs   da   de   el   en   es   et   hr   hu  ...   pt   ro   ru   sr  \\\n",
       "bg  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "cs  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "da  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "de  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "el  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "en  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "es  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "et  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "hr  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "hu  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "fi  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "fr  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "is  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "it  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "lt  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "lv  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "mk  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "nl  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "no  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "pl  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "pt  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "ro  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "ru  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "sr  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "sk  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "sl  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "sv  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "sq  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "tr  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "uk  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0  0.0  0.0   \n",
       "\n",
       "     sk   sl   sv   sq   tr   uk  \n",
       "bg  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "cs  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "da  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "de  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "el  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "en  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "es  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "et  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "hr  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "hu  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "fi  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "fr  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "is  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "it  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "lt  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "lv  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "mk  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "nl  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "no  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "pl  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "pt  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "ro  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "ru  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "sr  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "sk  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "sl  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "sv  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "sq  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "tr  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "uk  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "\n",
       "[30 rows x 30 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "3b4eb4c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "for code in lista:\n",
    "    for i in lista:\n",
    "        sim.loc[code,i]=similarity(code,i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "84c694dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bg</th>\n",
       "      <th>cs</th>\n",
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       "      <th>de</th>\n",
       "      <th>el</th>\n",
       "      <th>en</th>\n",
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       "      <th>pt</th>\n",
       "      <th>ro</th>\n",
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       "      <th>sr</th>\n",
       "      <th>sk</th>\n",
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       "      <th>bg</th>\n",
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       "      <td>0.965317</td>\n",
       "      <td>0.936696</td>\n",
       "      <td>0.900903</td>\n",
       "      <td>0.959437</td>\n",
       "      <td>0.944776</td>\n",
       "      <td>0.960183</td>\n",
       "      <td>0.946336</td>\n",
       "      <td>0.946928</td>\n",
       "      <td>0.966672</td>\n",
       "      <td>...</td>\n",
       "      <td>0.955447</td>\n",
       "      <td>0.946148</td>\n",
       "      <td>0.960123</td>\n",
       "      <td>0.955273</td>\n",
       "      <td>0.973588</td>\n",
       "      <td>0.945723</td>\n",
       "      <td>0.968221</td>\n",
       "      <td>0.914899</td>\n",
       "      <td>0.930464</td>\n",
       "      <td>0.936874</td>\n",
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       "    <tr>\n",
       "      <th>cs</th>\n",
       "      <td>0.965317</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.952286</td>\n",
       "      <td>0.921195</td>\n",
       "      <td>0.940057</td>\n",
       "      <td>0.949162</td>\n",
       "      <td>0.968287</td>\n",
       "      <td>0.938735</td>\n",
       "      <td>0.971849</td>\n",
       "      <td>0.953762</td>\n",
       "      <td>...</td>\n",
       "      <td>0.950526</td>\n",
       "      <td>0.937607</td>\n",
       "      <td>0.972864</td>\n",
       "      <td>0.976344</td>\n",
       "      <td>0.990070</td>\n",
       "      <td>0.984294</td>\n",
       "      <td>0.953974</td>\n",
       "      <td>0.927596</td>\n",
       "      <td>0.935909</td>\n",
       "      <td>0.940068</td>\n",
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       "    <tr>\n",
       "      <th>da</th>\n",
       "      <td>0.936696</td>\n",
       "      <td>0.952286</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.959085</td>\n",
       "      <td>0.907057</td>\n",
       "      <td>0.963920</td>\n",
       "      <td>0.944788</td>\n",
       "      <td>0.915703</td>\n",
       "      <td>0.918324</td>\n",
       "      <td>0.952297</td>\n",
       "      <td>...</td>\n",
       "      <td>0.937545</td>\n",
       "      <td>0.907954</td>\n",
       "      <td>0.915453</td>\n",
       "      <td>0.927263</td>\n",
       "      <td>0.924452</td>\n",
       "      <td>0.937438</td>\n",
       "      <td>0.972743</td>\n",
       "      <td>0.969004</td>\n",
       "      <td>0.923634</td>\n",
       "      <td>0.849469</td>\n",
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       "    <tr>\n",
       "      <th>de</th>\n",
       "      <td>0.900903</td>\n",
       "      <td>0.921195</td>\n",
       "      <td>0.959085</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.886622</td>\n",
       "      <td>0.943834</td>\n",
       "      <td>0.932874</td>\n",
       "      <td>0.888660</td>\n",
       "      <td>0.887002</td>\n",
       "      <td>0.913165</td>\n",
       "      <td>...</td>\n",
       "      <td>0.917296</td>\n",
       "      <td>0.910779</td>\n",
       "      <td>0.881102</td>\n",
       "      <td>0.895316</td>\n",
       "      <td>0.881732</td>\n",
       "      <td>0.900291</td>\n",
       "      <td>0.936119</td>\n",
       "      <td>0.972204</td>\n",
       "      <td>0.927310</td>\n",
       "      <td>0.827582</td>\n",
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       "    <tr>\n",
       "      <th>el</th>\n",
       "      <td>0.959437</td>\n",
       "      <td>0.940057</td>\n",
       "      <td>0.907057</td>\n",
       "      <td>0.886622</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.924944</td>\n",
       "      <td>0.934262</td>\n",
       "      <td>0.931984</td>\n",
       "      <td>0.942922</td>\n",
       "      <td>0.936689</td>\n",
       "      <td>...</td>\n",
       "      <td>0.918059</td>\n",
       "      <td>0.939864</td>\n",
       "      <td>0.956519</td>\n",
       "      <td>0.944268</td>\n",
       "      <td>0.949107</td>\n",
       "      <td>0.936755</td>\n",
       "      <td>0.939384</td>\n",
       "      <td>0.900042</td>\n",
       "      <td>0.924935</td>\n",
       "      <td>0.904000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
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      ],
      "text/plain": [
       "          bg        cs        da        de        el        en        es  \\\n",
       "bg  1.000000  0.965317  0.936696  0.900903  0.959437  0.944776  0.960183   \n",
       "cs  0.965317  1.000000  0.952286  0.921195  0.940057  0.949162  0.968287   \n",
       "da  0.936696  0.952286  1.000000  0.959085  0.907057  0.963920  0.944788   \n",
       "de  0.900903  0.921195  0.959085  1.000000  0.886622  0.943834  0.932874   \n",
       "el  0.959437  0.940057  0.907057  0.886622  1.000000  0.924944  0.934262   \n",
       "\n",
       "          et        hr        hu  ...        pt        ro        ru        sr  \\\n",
       "bg  0.946336  0.946928  0.966672  ...  0.955447  0.946148  0.960123  0.955273   \n",
       "cs  0.938735  0.971849  0.953762  ...  0.950526  0.937607  0.972864  0.976344   \n",
       "da  0.915703  0.918324  0.952297  ...  0.937545  0.907954  0.915453  0.927263   \n",
       "de  0.888660  0.887002  0.913165  ...  0.917296  0.910779  0.881102  0.895316   \n",
       "el  0.931984  0.942922  0.936689  ...  0.918059  0.939864  0.956519  0.944268   \n",
       "\n",
       "          sk        sl        sv        sq        tr        uk  \n",
       "bg  0.973588  0.945723  0.968221  0.914899  0.930464  0.936874  \n",
       "cs  0.990070  0.984294  0.953974  0.927596  0.935909  0.940068  \n",
       "da  0.924452  0.937438  0.972743  0.969004  0.923634  0.849469  \n",
       "de  0.881732  0.900291  0.936119  0.972204  0.927310  0.827582  \n",
       "el  0.949107  0.936755  0.939384  0.900042  0.924935  0.904000  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59eb38d6",
   "metadata": {},
   "source": [
    "Evo svih kosinusnih sličnosti za svih 30 jezika koje smo analizirali. Kao obično, velike tabele su nepregledne pa ćemo pokušati da rešimo problem grafički koristeći grafikon tipa _heatmap_."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "8357245a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "83dfc411",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x1296 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(figsize=(18,18))\n",
    "sns.heatmap(sim, cbar = True,  square = True,\n",
    "            annot=True, fmt= '.3f',annot_kws={'size': 8},\n",
    "            cmap= 'coolwarm')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98462e31",
   "metadata": {},
   "source": [
    "Ovde vidimo da su jezici, naravno, najsličniji sami sebi. Zato imamo jedinice po dijagonali. Tamno crveno nam govori da su dva jezika vrlo slična, dok plavo znači da nemaju baš mnogo toga zajedničkog. Sami utvrdite koji su najsličniji."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d724a1da",
   "metadata": {},
   "source": [
    "Drugi način da podatke o jezicima grafički prikažemo jeste da nacrtamo dendrogram. Takav grafikon će prikazati kako se stablo grana, odnosno kako od nivoa sličnosti zavusi koliko grana jezika imamo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "7f8f36a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import scipy.cluster.hierarchy as sch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "534ce729",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x208614f9d90>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# dendrogram\n",
    "plt.subplots(figsize=(12,6))\n",
    "d=dendrogram = sch.dendrogram(sch.linkage(df, method='ward'),leaf_rotation=0,labels=lista,leaf_font_size=12)\n",
    "plt.axhline(y=.1, color='k', linestyle='--', lw=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d633e6f3",
   "metadata": {},
   "source": [
    "## Završni komentar"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87a22210",
   "metadata": {},
   "source": [
    "Ova analiza ne pretenduje da zameni ili banalizuje lingvistčke analize. Ideja je bila samo da pokažemo jedan od načina kako jedna kompleksna pojava poput jezika može da se parametrizuje i da na osnovu toga vidimo šta je čemu slično. Način na koji bismo mogli da predstavimo npr. države, kompanije ili programe političkih stranaka ne bi bio mnogo drugačiji. Samo bismo izabrali nešto drugo sem frekvencije slova za parametre.    "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}