This course is designed to increase awareness of computational and corpus tools and their applications for linguistic research. It provides ways to learn about various tools to at least partially automate or accelerate linguistic analysis, providing 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. It covers computer methods for doing linguistics with on-line corpora. Includes extensive introduction (with lab) to different corpus tools, concordance programs, syntactic treebanks, propbanks, and corpora for lexicogrammatical, pragmatic and discourse research.

Unit 2: Second generation corpora: British National Corpus; Corpus of Contemporary American English; Corpus analysis tools (weeks 4-6)

Unit 3: Corpus data: access and analysis. Data processing; corpus mark-up and annotation; annotation standards; tokenising and part-of-speech tagging; lemmatising and morphological tagging; quality assurance, reusability and sustainability; syntactic processing, sense and semantic tagging; searching and concordancing.(weeks 7-11)

Unit 4: Corpus exploitation: corpora and lexicogrammatical studies, corpora and word meaning, corpora and discourse analysis, other computational applications. (weeks 12-14)