Description

Overview:

This course is a graduate introduction to natural language processing - the study of human language from a computational perspective. It covers syntactic, semantic and discourse processing models, emphasizing machine learning or corpus-based methods and algorithms. It also covers applications of these methods and models in syntactic parsing, information extraction, statistical machine translation, dialogue systems, and summarization. The subject qualifies as an Artificial Intelligence and Applications concentration subject.

Subject:

Computer Science, Linguistics

Level:

Academic Lower Division, Academic Upper Division

Material Type:

Full Course

Author:

Barzilay, Regina, Collins, Michael

Provider:

MIT

Provider Set:

MIT OpenCourseWare

Date Added:

01/01/2005