LING 492 - Topics in Linguistics
Section: 001 Computation and Data Science for Linguists
Term: FA 2019
Subject: Linguistics (LING)
Department: LSA Linguistics
Credits:
3
Waitlist Capacity:
99
Repeatability:
May be repeated for a maximum of 18 credit(s). May be elected more than once in the same term.
Primary Instructor:

This seminar explores quantitative, computational, and machine learning methods for acquiring data from (and about) language. Exactly what we cover will depend in part on student interests - bring your datasets and questions! But we are likely to cover at least some of the following topics: learning Python and using it to process corpora, an overview of computational linguistics, an overview of machine learning including deep learning, getting a sense of what software is available and how to use it, getting a sense of what language data is available.

On the software front, salient items are Python toolkits such as the Natural Language Toolkit (NLTK), Scikit-Learn, and TensorFlow, as well as command-line tool suites such as the Stanford tools and OpenNLP.

LING 492 - Topics in Linguistics
Schedule Listing
001 (SEM)
P
31266
Open
9
 
-
TuTh 1:00PM - 2:30PM
003 (SEM)
P
31330
Open
16
 
-
MW 10:00AM - 11:30AM
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