Linguistics and "big" data: Learning from each other

September 27, 2018
Wednesday, October 3, 2018 - 6:30pm
18th Avenue Library Research Commons
Marie-Catherine de Marneffe
This free talk, Wednesday, October 3 at 6:30 p.m. in the 18th Avenue Library Research Commons (as part of their Science Cafe lecture series), will provide compelling illustrations of how efforts in theoretical linguistics and technology can complement each other.
 
Using three case studies targeting different subfields of linguistics (syntax, semantics and pragmatics), de Marneffe will discuss how our current era of big data and machine learning techniques can help inform linguistic theories and conversely insights from linguistic theories can help technology by improving automatic tools for processing and understanding language.
 
Marie-Catherine de Marneffe is an assistant professor in Linguistics at OSU. She received her PhD from Stanford University in December 2012. She is developing computational linguistic methods that capture what is conveyed by speakers beyond the literal meaning of the words they say. She serves as a member of the North American Association for Computational Linguistics board and the Computational Linguistics and Lingvisticae Investigationes editorial boards.
 
 
 
 
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