6.881 Natural Language Processing, Fall 2004

Barzilay, Regina

Author(s)

Barzilay, Regina

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Alternative title

Natural Language Processing

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Abstract

This course is a graduate level introduction to natural language processing, the primary concern of which is the study of human language from a computational perspective. The class will cover models at the level of syntactic, semantic and discourse processing. The emphasis will be on corpus-based methods and algorithms, such as Hidden Markov Models and probabilistic context free grammars. We will discuss the use of these methods and models in a variety of applications including syntactic parsing, information extraction, statistical machine translation, and summarization. This subject qualifies as an Artificial Intelligence and Applications concentration subject.

Date issued

2004-12

URI

http://hdl.handle.net/1721.1/36844

Department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Other identifiers

6.881-Fall2004

local: 6.881

local: IMSCP-MD5-711e44b0b0cf70ee8b1ff7e577031dc7

Keywords

syntactic models, semantic models, discourse processing models, corpus-based methods, algorithms, Hidden Markov Models, probabilistic context free grammars, syntactic parsing, information extraction, statistical machine translation, summarization

Collections

MIT OCW Archived Courses