Raj Nath Patel


Personalized Machine Translation: Preserving Original Author Traits
Ella Rabinovich | Raj Nath Patel | Shachar Mirkin | Lucia Specia | Shuly Wintner
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers

The language that we produce reflects our personality, and various personal and demographic characteristics can be detected in natural language texts. We focus on one particular personal trait of the author, gender, and study how it is manifested in original texts and in translations. We show that author’s gender has a powerful, clear signal in originals texts, but this signal is obfuscated in human and machine translation. We then propose simple domain-adaptation techniques that help retain the original gender traits in the translation, without harming the quality of the translation, thereby creating more personalized machine translation systems.


Translation Quality Estimation using Recurrent Neural Network
Raj Nath Patel | Sasikumar M
Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers


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SMT from Agglutinative Languages: Use of Suffix Separation and Word Splitting
Prakash B. Pimpale | Raj Nath Patel | Sasikumar M.
Proceedings of the 11th International Conference on Natural Language Processing


Reordering rules for English-Hindi SMT
Raj Nath Patel | Rohit Gupta | Prakash B. Pimpale | Sasikumar M
Proceedings of the Second Workshop on Hybrid Approaches to Translation


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