Ritesh Shah

Also published as: Ritesh M. Shah


Post-editing a chapter of a specialized textbook into 7 languages: importance of terminological proximity with English for productivity
Ritesh Shah | Christian Boitet | Pushpak Bhattacharyya | Mithun Padmakumar | Leonardo Zilio | Ruslan Kalitvianski | Mohammad Nasiruddin | Mutsuko Tomokiyo | Sandra Castellanos Páez
Proceedings of the 12th International Conference on Natural Language Processing


The IIT Bombay Hindi-English Translation System at WMT 2014
Piyush Dungarwal | Rajen Chatterjee | Abhijit Mishra | Anoop Kunchukuttan | Ritesh Shah | Pushpak Bhattacharyya
Proceedings of the Ninth Workshop on Statistical Machine Translation

Shata-Anuvadak: Tackling Multiway Translation of Indian Languages
Anoop Kunchukuttan | Abhijit Mishra | Rajen Chatterjee | Ritesh Shah | Pushpak Bhattacharyya
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

We present a compendium of 110 Statistical Machine Translation systems built from parallel corpora of 11 Indian languages belonging to both Indo-Aryan and Dravidian families. We analyze the relationship between translation accuracy and the language families involved. We feel that insights obtained from this analysis will provide guidelines for creating machine translation systems of specific Indian language pairs. We build phrase based systems and some extensions. Across multiple languages, we show improvements on the baseline phrase based systems using these extensions: (1) source side reordering for English-Indian language translation, and (2) transliteration of untranslated words for Indian language-Indian language translation. These enhancements harness shared characteristics of Indian languages. To stimulate similar innovation widely in the NLP community, we have made the trained models for these language pairs publicly available.


IITB System for CoNLL 2013 Shared Task: A Hybrid Approach to Grammatical Error Correction
Anoop Kunchukuttan | Ritesh Shah | Pushpak Bhattacharyya
Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task


Learning Improved Reordering Models for Urdu, Farsi and Italian using SMT
Rohit Gupta | Raj Nath Patel | Ritesh Shah
Proceedings of the Workshop on Reordering for Statistical Machine Translation


Simple Syntactic and Morphological Processing Can Help English-Hindi Statistical Machine Translation
Ananthakrishnan Ramanathan | Jayprasad Hegde | Ritesh M. Shah | Pushpak Bhattacharyya | Sasikumar M.
Proceedings of the Third International Joint Conference on Natural Language Processing: Volume-I