Natural Language Processing

Natural Language Processing
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.
 Hours3.0 Credit, 3.0 Lecture, 0.0 Lab
 PrerequisitesGood 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.
Course Outcomes

NLP Tools

Students will be able to demonstrate by hands-on experience how to use NLP tools in the performance of linguistically interesting tasks.

NLP-related Computation

Students will be able to demonstrate application of a novel, nonontrivial programming approach to solving some aspect of NLP-related computation.

Computational Techniques

Students will be able to recognize and describe how computational techniques are used successfully in various areas of natural language processing.

Current Research Literature and Trends

Students will read, understand, discuss, and assess current research literature and trends in the relevant areas.