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

Ali El-Kahky, Derek Liu, Ruhi Sarikaya, Gokhan Tur, Dilek Hakkani-Tur, and Larry Heck, Extending Domain Coverage of Language Understanding Systems via Intent Transfer Between Domains Using Knowledge Graphs and Search Query Click Logs, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014

Yangfeng Ji, Dilek Hakkani-Tur, Asli Celikyilmaz, Larry Heck, and Gokhan Tur, A Variationa​l Bayesian Model for User Intent Detection, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014

Yann Dauphin, Gokhan Tur, Dilek Hakkani-Tur, and Larry Heck, Zero-Shot Learning and Clustering for Semantic Utterance Classification, International Conference on Learning Representations (ICLR), April 2014

Seyed Omid Sadjadi and Larry Heck, Speaker Verification Based Processing for Robust ASR in Co-Channel Speech Scenarios, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014

Lu Wang, Larry Heck, and Dilek Hakkani-Tur, Leveraging Semantic Web Search and Browse Sessions for Multi-Turn Spoken Dialog Systems, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014

More publications...