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Empirical Perspectives on Human Language, Its Structure, Acquisition, and Processing

Date and Time: 
Thursday, May 14, 2020. 03:00 PM - 04:30 PM
Meeting Location: 
Zoom
Workshop: 
Cognition and Language Workshop
Meeting Description: 

Chris Manning will discuss what we have learned from around thirty years of empirical, statistical, computationally-based research into human language, its structure, acquisition, and processing. On the one hand human language is a paradigmatic example of a categorical system and a rule-based system. On the other hand, human language is a squishy, variable, and changing thing, and the data we get is changing statistical patterns of actual human language use. Recent decades have seen the development of many language corpora, and formal and computational tools for building models of language from them. In what ways do and don’t these models give insight into the structure, acquisition, and processing of human language? How has the perspective changed with the progression from corpus-based NLP to machine learning models, and now deep learning or neural models of language?

Chris Manning is professor of linguistics and computer science at Stanford University.

Please subscribe to the coglanguage email list or contact bwaldon@stanford.edu to receive the link.

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