| Course ID: | LING 4570/6570. 3 hours. |
| Course Title: | Natural Language Processing |
Course
Description: | Computer techniques for processing human languages (e.g., English, Spanish, German), covering applied topics such as text normalization and named entity recognition, as well as theoretical matters, such as the implementation of syntactic and semantic theories. |
| Oasis Title: | Natural Language Processing |
| Undergraduate Prerequisite: | (LING 2100 or LING 2100E or LING 2100H) and (CSCI 1300-1300L or CSCI 1360 or CSCI 1360E) |
| Graduate Prerequisite: | Permission of department |
| Grading System: | A-F (Traditional) |
|
| Course Objectives: | Students will understand basic principles and techniques of natural language processing and will be able to apply these to specific linguistic projects. In addition to regular programming assignments, all students will complete a final project that involves building some kind of natural language system using available tools and corpora (see also the additional requirements for graduate students listed above). Students will gain an understanding of natural language processing as a computational form of linguistics, with its own traditions, favored approaches, and well-studied problems. |
| Topical Outline: | Topics will include fundamental concepts and techniques in natural language processing, such as finite state technology, sequence labeling, grammar engineering, parsing in various formalisms, and deep learning as applied to text. The choice and sequencing of topics may vary. |
| Honor Code Reference: | Students in this course are expected to be familiar with and adhere to the Univer-
sity of Georgia policy on academic honesty, according to which all violations of
academic honesty will be handled. Students may participate in graded group projects
at the instructor's discretion. |