multi-lingual

UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resouce Cross-Lingual NLP

We propose UXLA, a novel data augmentation framework for self-supervised learning in zero-resource transfer learning scenarios.

Malay-English Neural Machine Translation System.

A demo of malay english Machine translation system.

Neural Domain Adaptation Model for Machine Translation

About This resource contain the source code of Domain adaptation using neural network joint model paper. Source code Link to github Publications Shafiq Joty, Nadir Durrani, Hassan Sajjad, and Ahmed Abdelali. Domain Adaptation Using Neural Network Joint Model. In Computer Speech & Language (Special Issue on Deep Learning for Machine Translation) : pages 161-179, 2017. @article{joty-durrani-sajjad-abdelali-csl-17, title="{Domain Adaptation Using Neural Network Joint Model}", author={Shafiq Joty and Nadir Durrani and Hassan Sajjad and Ahmed Abdelali}, journal = {Computer Speech & Language}, volume={45}, publisher={Elsevier}, pages={161-179}, year={2017}, doi = {https://doi.