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Georgetown University

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Fall 2017
Oct 22, 2018
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LING 367 - Computational Corpus Ling
Digital linguistic corpora, i.e. electronic collections of written, spoken or multimodal language data, have become an increasingly important source of empirical information for theoretical and applied linguistics in recent years. This course is meant as a theoretically founded, practical introduction to corpus work with a broad selection of data, including non-standardized varieties such as language on the Internet, learner corpora and historical corpora. We will discuss issues of corpus design, annotation and evaluation using quantitative methods and both manual and automatic annotation tools for different levels of linguistic analysis, from parts-of-speech, through syntax to discourse annotation.

3.000 Credit hours
0.000 Lecture hours
3.000 Lab hours

Levels: MN or MC Graduate, Undergraduate
Schedule Types: Laboratory, Lecture

Linguistics Department

Course Attributes:
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