SLPG/Punjabi_Transliteration_Corpus

Punjabi Transliteration Corpus (PTC)

The Punjabi Transliteration Corpus (PTC) is a comprehensive dataset containing 6.3 million parallel sentences in Gurmukhi and Shahmukhi scripts. This corpus has been meticulously compiled to support the development and evaluation of neural machine transliteration (NMT) models for Punjabi text.

Corpus Details

• Total Sentences: 6.3 million
• Domains Covered: Various domains including CCaligned, ccmatrix, TED, QED, OPUS, TIco, Wikimedia, Multicclaigned, Emille, IJCNLP, xlent, and paracrawl.
• Test Corpus: FLORES-101

Models:

Gurmukhi-to-Shahmukhi Model

- **BLEU Score:** 98.1
- **Word-level Accuracy:** 99.5%
- **Character Error Rate (CER):** 99.1%

Shahmukhi-to-Gurmukhi Model

- **BLEU Score:** 87.7

Usage

These resources are intended to facilitate research and development in the field of Punjabi transliteration. They can be used to train new models or improve existing ones, enabling high-quality transliteration between Gurmukhi and Shahmukhi scripts.

Citation

If you use our model, kindly cite our paper:

@article{Shehzadi2024,
  title={Unsupervised Punjabi Corpus and Neural Machine Transliteration
 System},
  author={Shehzadi Ambreen, Sadaf Abdul Rauf, MG Abbas Malik and Muhammad Imran },      journal={Heliyon},
  year={2024},
  note={Under review}
 }