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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: Mean Grade is Calculated |
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