LING-367 Introduction to Computational Corpus Linguistics
Fall for 2017-2018
Faculty:
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.
Credits: 3
Prerequisites: None

Sections:

LING-367-01 Computational Linguistics: Tools for Linguists
Fall for 2017-2018
Faculty:
This course is designed to increase awareness of computational tools and their applications for linguistic research. In other words, it will provide ways to learn about various tools to at least partially automate or accelerate linguistic analysis. We cannot replace linguistic intuition, but we provide students with a greater understanding of how and when to use empirical approaches to linguistic analysis. A large emphasis of the course is in how to deal with large amounts of language data and to understand practical issues in dealing with corpora, annotation and multi-lingual data.
Credits: 3
Prerequisites: None
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