Learning language from ambiguous perceptual context

Learning language from ambiguous perceptual context

Building a computer system that can understand human languages has been one of the long-standing goals of artificial intelligence. Currently, most state-of-the-art natural language processing (NLP) systems use statistical machine learning methods to extract linguistic knowledge from large, annotated...

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Bibliographic Details
Main Author: Chen, David Lieh-Chiang
Format: Others
Language:English
Published: 2012
Subjects:
Natural language processing
Natural language learning
Connecting language and perception
Machine learning
Artificial intelligence
Online Access:http://hdl.handle.net/2152/ETD-UT-2012-05-5203

Internet

http://hdl.handle.net/2152/ETD-UT-2012-05-5203

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