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Computational Linguistics

Machine translation, multilingual systems, and natural-language processing


Areas of focus for Microsoft Research’s inquiries into computational linguistics are threefold: machine translation, to create systems and technologies that cater to today’s multitude of translation scenarios; multilingual systems, to develop a natural-language-neutral approach to all aspects of linguistic computing; and natural-language processing, to design and build software that will analyze, understand, and generate languages that humans use naturally, with the goal of enabling a user to address a computer as though addressing another person.

 


Publications

Li Dong, Furu Wei, Shujie Liu, Ming Zhou, and Ke Xu, A Statistical Parsing Framework for Sentiment Classification, Computational Linguistics, December 2015.

Dilek Hakkani-Tur, Yun-Cheng Ju, Geoffrey Zweig, and Gokhan Tur, Clustering Novel Intents in a Conversational Interaction System with Semantic Parsing, Interspeech 2015 Conference, September 2015.

Young-Bum Kim, Karl Stratos, Ruhi Sarikaya, and Minwoo Jeong, New Transfer Learning Techniques For Disparate Label Sets, in Association for Computational Linguistics (ACL), ACL – Association for Computational Linguistics, 29 August 2015.

Young-Bum Kim, Karl Stratos, and Ruhi Sarikaya, Pre-training of Hidden-Unit CRFs, in Association for Computational Linguistics (ACL), ACL – Association for Computational Linguistics, 28 August 2015.

Young-Bum Kim, Karl Stratos, Xiaohu Liu, and Ruhi Sarikaya, Compact Lexicon Selection with Spectral Methods, in Association for Computational Linguistics (ACL), ACL – Association for Computational Linguistics, 27 August 2015.

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