LING 581
Natural Language Processing
Linguistics
College of Humanities
Course Description
Intensive overview of natural language processing, including computational techniques, hands-on experience with linguistic technologies and corpora, language modeling approaches, and readings from current research.
When Taught
Fall
Grade Rule
Grade Rule 8: A, B, C, D, E, I (Standard grade rule)
Min
3
Fixed
3
Fixed
3
Fixed
0
Other Prerequisites
Good programming skills in at least one language (preferably LISP, Prolog, C, C++, Perl, or Java) and a knowledge of basic discrete math. Upper-division linguistics/computers and the humanities students with less programming experience may enroll with instructor`s consent.
Title
NLP Tools
Learning Outcome
Students will be able to demonstrate by hands-on experience how to use NLP tools in the performance of linguistically interesting tasks.
Title
NLP-related Computation
Learning Outcome
Students will be able to demonstrate application of a novel, nonontrivial programming approach to solving some aspect of NLP-related computation.
Title
Computational Techniques
Learning Outcome
Students will be able to recognize and describe how computational techniques are used successfully in various areas of natural language processing.
Title
Current Research Literature and Trends
Learning Outcome
Students will read, understand, discuss, and assess current research literature and trends in the relevant areas.
