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LING 441 - Introduction to Computational Linguistics
Fall 2022, Section 001
Instruction Mode: Section 001 is  In Person (see other Sections below)
Subject: Linguistics (LING)
Department: LSA Linguistics
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 Details  Description  Schedule  Textbooks/Other Materials  Syllabi

Details

Credits:
3
Requirements & Distribution:
BS
Waitlist Capacity:
99
Consent:
With permission of department.
Enforced Prerequisites:
One of: EECS 180, 183, ENGR 101, SI 106, or EECS 280.
Advisory Prerequisites:
Students planning to take LING 315 and 316 (e.g., Linguistics majors) should take them before taking LING 441.
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Rackham Information:
Rackham credit requires additional work.
Primary Instructor:
Abney,Steven P
Start/End Date:
Full Term 8/29/22 - 12/9/22 (see other Sections below)
NOTE: Drop/Add deadlines are dependent on the class meeting dates and will differ for full term versus partial term offerings.
For information on drop/add deadlines, see the Office of the Registrar and search Registration Deadlines.

Description

Computational linguistics, also known as natural language processing, encompasses three distinct areas of study: (1) human language technologies, such as machine translation, information extraction, or spoken language dialogue systems; (2) computational models of language users, either human (computational psycholinguistics) or artifactual (artificial intelligence); and (3) digital linguistics, which is the use of computation in support of language documentation and linguistic research.

For all three areas of study, there is a common body of fundamentals. This class introduces those fundamentals. One focus is the processing pipeline involved in natural language understanding, particularly part of speech tagging, parsing, and semantic interpretation. A second focus is the extraction of linguistic information from text corpora; we will touch on collocations, language models, regular expressions, and text classification.

The approach will be very hands-on. We will use the Natural Language Toolkit, in the Python programming language.

Intended Audience:

The course does not assume prior experience with Python, nor does it assume a computer science background. It is particularly intended for language, linguistics, psychology, and cognitive science students. However, some prior experience with programming is essential - this course is not an introduction to programming.

Schedule

LING 441 - Introduction to Computational Linguistics
Schedule Listing
001 (LEC)
 In Person
22017
Closed
0
 
-
TuTh 2:30PM - 4:00PMLEC RM 2 MLB
8/29/22 - 12/9/22

Textbooks/Other Materials

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Syllabi

Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

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CourseProfile (Atlas)

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CourseProfile (Atlas)