https://github.com/harisbinzia/simplifyur
SimplifyUR: Unsupervised Lexical Text Simplification for Urdu
https://github.com/harisbinzia/simplifyur
dataset simplification urdu
Last synced: 4 months ago
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SimplifyUR: Unsupervised Lexical Text Simplification for Urdu
- Host: GitHub
- URL: https://github.com/harisbinzia/simplifyur
- Owner: harisbinzia
- License: mit
- Created: 2019-11-24T19:20:25.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2024-08-20T16:14:12.000Z (almost 2 years ago)
- Last Synced: 2025-05-08T05:31:10.514Z (about 1 year ago)
- Topics: dataset, simplification, urdu
- Language: Jupyter Notebook
- Size: 8.2 MB
- Stars: 0
- Watchers: 2
- Forks: 3
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# SimplifyUR
This repository contains code, dataset and models for Urdu text simplification as described in paper [SimplifyUR: Unsupervised Lexical Text Simplification for Urdu](http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.428.pdf).
# Requirement(s)
The source is available as a [Jupyter](https://jupyterlab.readthedocs.io/en/stable/getting_started/installation.html) notebook for a Python 3 kernel. Please see [requirements.txt](requirements.txt) for details.
# Model(s)
Pre-trained models including Word2Vec, Parts of Speech (PoS) tagger and Language Model (LM) are [available for download](https://drive.google.com/file/d/1RVW7C-d6hOqIPOiYVHWqiicaYaFloLeo/view). Download and extract them to root directory, SimplifyUR.
# Dataset
A parallel corpus of [complex](Data/Complex.txt)-[simplified](Data/Simplified.txt) Urdu sentence-pairs is the [Data](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](http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.428.pdf)
```
@InProceedings{qasmi-EtAl:2020:LREC,
author = {Qasmi, Namoos Hayat and Zia, Haris Bin and Athar, Awais and Raza, Agha Ali},
title = {SimplifyUR: Unsupervised Lexical Text Simplification for Urdu},
booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference},
month = {May},
year = {2020},
address = {Marseille, France},
publisher = {European Language Resources Association},
pages = {3484--3489},
url = {https://www.aclweb.org/anthology/2020.lrec-1.428}
}
```
# License(s)
Copyright (c) 2020 CSaLT, ITU
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/