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

Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zheng Chen, Knowledge Graph Embedding by Translating on Hyperplanes, AAAI - Association for the Advancement of Artificial Intelligence, July 2014

Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou, and Chengqing Zong, Mind the Gap: Machine Translation by Minimizing the Semantic Gap in Embedding Space, AAAI - Association for the Advancement of Artificial Intelligence, July 2014

Patrick Pantel, Michael Gamon, and Ariel Fuxman, Smart Selection, ACL – Association for Computational Linguistics, 6 June 2014

Wen-tau Yih, Xiaodong He, and Christopher Meek, Semantic Parsing for Single-Relation Question Answering, in Proceedings of ACL, Association for Computational Linguistics, June 2014

Jianfeng Gao, Xiaodong He, Wen-tau Yih, and Li Deng, Learning Continuous Phrase Representations for Translation Modeling, in Proceedings of ACL, Association for Computational Linguistics, June 2014

More publications...