Talks & Seminars
Title: Towards Panlingual Translation: Supporting Translations Across All Languages
Dr. Mausam, Turing Center, Dept. of CSE, University of Washington
Date & Time: March 3, 2008 14:15
Venue: F. C. Kohli Auditorium, ‘B’ Block, 01st floor, Kanwal Rekhi Building
The goal of our project is a system that can translate between arbitrary pairs of languages. Unfortunately, most machine translation methodologies assume aligned corpora or grammar rules, which are available for only a small number of major language pairs. This makes scaling the popular approaches to any-language translation virtually impossible. We propose to scale machine translation to a panlingual level by first attempting to solve the lexical translation problem and then proceeding to translating pairs of words, phrases and then sentences. In this talk I primarily describe a novel approach to lexical translation that employs probabilistic inference over the Translation Graph, a novel lexical resource that combines translations from hundreds of machine readable dictionaries and Wiktionaries. Our inference algorithm opens up several interesting and challenging future directions that I detail in the talk. I will also demo PanImages (http://www.panimages.org), an image search application that uses the Translation Graph.
Speaker Profile:
Mausam received his BTech from IIT Delhi in 2001 and a PhD from University of Washington in 2007. He is currently employed as a Research Assistant Professor in the Turing Center at the University of Washington, Seattle. His research interests include probabilistic reasoning, Web-based information extraction, automated planning, Markov decision processes, and machine learning. His PhD thesis was on developing planning algorithms for domains involving probabilistic, concurrent, and durative actions with uncertain durations. His recent research focuses on combining natural language and probabilistic reasoning for large scale problems. He primarily works on two projects -- KnowItAll and PanImages.
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