Guia docente 2023_24 Facultade de Filoloxía e Tradución

Contidos

Tema	Subtema
1. Introduction	Description vs. theory. Corpus vs. computational linguistics. Brief history of corpus linguistics.
2. What is a corpus?	Defining a corpus. Types of corpora. Main corpus resources for linguistic research.
3. Corpus design and compilation	Sampling matters: e.g. size, representativeness, collecting and computerizing data, storage and copyright.
4. Corpus annotation	Linguistic annotation and other types of annotation.
5. Data retrieval	Software tools. Precision and Recall. Concordances and queries. Keywords, word lists, frequency lists, etc.
6. Data analysis	Quantitative and qualitative analyses. Normalised frequencies and frequency distribution.
7. Statistical analysis	Data types. Levels of measurement. Types of variables. Organizing data. Descriptive vs. inferential statistics. Hypothesis testing. Correlation.
8. Applications of corpora for the linguistic analysis of English	Selection of case studies on lexicon, grammar, discourse markers, register variation, historical change, sociolinguistics, etc.
9. Hands-on demonstrations	Hands-on demonstrations with a selection of corpora.