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Advances in Machine Translation

Srinivas Bangalore, Interactions LLC

November 20, 2017 · 12:00 pm1:00 pm ·

Program in Translation and Intercultural Communications

Cross-lingual communication has been an object of study for philosophers, linguists, social scientists and technologists alike. It has long been acknowledged that the process of cross-lingual translation requires a judicious and harmonious balance of these diverse disciplines. Technologists have regarded computerized cross-lingual translation as a monumental challenge that can potentially enable a society without communication barriers. While automatic cross-lingual translation traces its origins to niche applications during the post-war era,  machine translation technology facilitated by the availability of large volumes of translated texts coupled with ever increasing computational resources has evolved to become an integral part of our everyday life. In this talk, we will highlight some of the recent advances in machine learning that have positively impacted the quality of machine translation.

Dr. Srinivas Bangalore is the Director of AI Research technologies  at Interactions LLC. He was a Lead Inventive Scientist at Interactions (2015-2017) and a Principal Research Scientist at AT&T Labs–Research (1997-2014). He has a PhD in Computer Science from University of Pennsylvania  and has made significant contributions to  many areas of natural  language processing  including Spoken Language Translation, Multimodal  Understanding,  Language Generation and Question-Answering. He has  co-edited three books  on Supertagging, Natural Language Generation, and Language Translation, has authored over a 100 research publications and holds over 100 patents in these areas. Dr. Bangalore has been an adjunct associate professor at Columbia University (2005), a visiting professor at Princeton University (2008-present) and Otto Monstead Professor at Copenhagen Business School   (2013). He has been awarded the Morris and Dorothy Rubinoff award for outstanding dissertation, the AT&T Outstanding Mentor Award, in recognition of his support and dedication to AT&T Labs Mentoring Program and the AT&T Science & Technology Medal for technical   leadership and innovative contributions in Spoken Language Technology   and Services.  He has served on the editorial board of Computational Linguistics Journal, Computer, Speech and Language Journal and on program committees for a number of ACL and IEEE  Speech Conferences.

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