SimplifyUR

This repository contains code, dataset and models for Urdu text simplification as described in paper SimplifyUR: Unsupervised Lexical Text Simplification for Urdu.

Requirement(s)

The source is available as a Jupyter notebook for a Python 3 kernel. Please see requirements.txt for details.

Model(s)

Pre-trained models including Word2Vec, Parts of Speech (PoS) tagger and Language Model (LM) are available for download. Download and extract them to root directory, SimplifyUR.

Dataset

A parallel corpus of complex-simplified Urdu sentence-pairs is the Data folder.

Reference(s)

If you use this tool in any of your work, please cite below paper.

SimplifyUR: Unsupervised Lexical Text Simplification for Urdu

License(s)

Code licensed under the MIT License: http://opensource.org/licenses/MIT. Data licensed under CC-BY 4.0: https://creativecommons.org/licenses/by/4.0/

awaisathar/SimplifyUR