ILOKANO-TAGALOG TRANSLATOR USING EXAMPLE-BASED, RULE-BASED AND STATISTICAL MODEL MACHINE TRANSLATION

Repository for Ilokano-Tagalog Translator

A machine translation tool that translates text from Ilokano to Tagalog and vice versa, using a combination of example-based, rule-based, and statistical machine translation models.

Table of Contents

• Background
• Installation
• Usage
• Models
• Evaluation
• Contribution
• References

Background

This project aims to provide a machine translation tool for Ilokano and Tagalog languages, which are widely spoken in the Philippines. The tool uses a combination of example-based, rule-based, and statistical machine translation models to provide accurate and fluent translations.

Installation

To install the dependencies, run the following command:

pip install -r requirements.txt

Usage Instruction

---

1. Check Dependencies for the required tools needed, install it then set up.
2. Import the necessary modules.
3. Run the python notebook on Jupyter Notebook.
4. Enter "http://127.0.0.1:5000" at your browsers URL

Dependencies

1. Python
   
2. Python Modules
   2.1 NLTK
   2.2 Pandas
   2.3 Jupyter Notebook
   
3. Code editors
   3.1. Visual Code
   

Models

The project uses a combination of example-based, rule-based, and statistical machine translation models. The models are trained on a dataset of Ilokano-Tagalog parallel sentences.

Evaluation

The translation tool has been evaluated on a test set of Ilokano-Tagalog sentences, achieving an BLEU score of x% for Ilokano to Tagalog and y% for Tagalog to Ilokano.

Contribution

We welcome contributions to this project. Please refer to the CONTRIBUTING.md file for more information.

References

• Ilokano-Tagalog Parallel Corpus
• Example-based Machine Translation
• Rule-based Machine Translation
• Statistical Machine Translation