Data and Information: Computational Linguistics

Fall 2018
Olympia
Day
Freshman - Senior
Class Size: 75
16 Credits per quarter
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Although the human capacity for language is sometimes described as a computational system in the brain, it is surprisingly challenging to program actual computers to interpret, respond to, or generate written text or spoken language. We will explore intersections between linguistics and computer science with the general goal of understanding how we can use computers to analyze text, including for example, social media content. Although the task is complex and brushes against fundamental questions about language and intelligence, we will find that an understanding of the abstract structure and organization of human language provides guidance to the person who creates algorithms to mine texts for structure and meaning, and even to the human analyst who uses those tools.

This program covers introductory linguistic theory and computer science with the goals of gaining skills in linguistic analysis and computer programming, and explores the interaction between the two areas. In linguistics, this will include looking at the structure of words, sentences, and texts (morphology, phonology, syntax, and discourse) as well as their meanings (semantics and pragmatics). In computer science, students will learn to program in Python and study how computers are used to understand texts and data. In conjunction with studies in linguistics and computer science, we will read about the history and philosophy of both fields as well as current work in their intersection, and we will gain a deeper understanding of the relationship between computers and human intelligence.

The work in this program will include weekly assignments in linguistics and in programming, seminar reading and writing, lectures, workshops, computer labs, and a final group project. This program is good preparation for the Computer Science Foundations program and further work in computer science and linguistics.

Registration

Fall 2018 Registration

Course Reference Numbers

Fr (16): 10133
So - Sr (16): 10136

Academic details

Preparatory For

computer science, linguistics, and data science.

Credits
16
Fields of Study
Maximum Enrollment
75
Online Learning
Enhanced Online Learning - This offering requires access to web-based tools, but use of these tools does not displace any face-to-face instruction.
Class Standing
Freshman
Sophomore
Junior
Senior

Schedule

In Person or Remote
Remote
Time Offered
Day
Schedule Evergreen link
see Schedule Evergreen for detailed schedule

First Meeting

SEM 2 A1107 - Workshop
Location
Olympia
Revisions
DateRevision 2018-03-28 Wan Bae has joined the program; Brian Walter has left the teaching team.