Interactive Systems Seminar|
Learning Syntax and Semantics for Machine Translation
Professor David ChiangResearch Assistant Professor
USC Department of Computer Science
Monday, October 14, 2013|
1:30pm - 3:00pm
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About the Event
Machine translation, or automatic translation of human languages, is one of the oldest problems in computer science, dating back to the 1950s. Broadly, two approaches to the problem have been taken: one which relies on knowledge of linguistic structure and meaning, and the other which relies on statistics from large amounts of data. For years, these two approaches seemed at odds with each other, but recent developments have made great progress towards building translation systems according to the maxim, "Linguistics tells us what to count, and statistics tells us how to count it" (Joshi).
David Chiang is Research Assistant Professor in the USC Department of Computer Science and Project Leader at the USC Information Sciences Institute. He earned his PhD from the University of Pennsylvania in 2004. His research is on computational models for learning human languages, particularly how to translate from one language to another. His work on applying formal grammars and machine learning to translation has been recognized with two best paper awards (at ACL 2005 and NAACL HLT 2009) and has transformed the field of machine translation. He has received research grants from DARPA, NSF, and Google, has served on the executive board of NAACL and the editorial board of Computational Linguistics, and is currently on the editorial board of Transactions of the ACL.
Contact: Rada Mihalcea
Open to: Public