6.881 Natural Language Processing, Fall 2004
Name
6-881Fall-2004/OcwWeb/Electrical-Engineering-and-Computer-Science/6-881Fall-2004/CourseHome/index.htm
Size
15.04 KB
Format
HTML
Checksum (MD5)
cbf25e3a1e0898f48e650267c5248f95
Author(s)
Barzilay, Regina
Alternative Title
Natural Language Processing
Date Issued
December 2004
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.
Subjects
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
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Persistent DSpace Link
