Learner corpora
(2020) A Practical Handbook of Corpus Linguistics — ISBN: [978-3-030-46215-4], 283-303, published
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- This chapter deals with learner corpora, that is, collections of (spoken and/or written) texts produced by learners of a language. It describes their main characteristics, with particular emphasis on those that are distinctive of learner corpora. Special types of corpora are introduced, such as longitudinal learner corpora or local learner corpora. The issues of the metadata accompanying learner corpora and the annotation of learner corpora are also discussed, and the challenges they involve are highlighted. Several methods of analysis designed to deal with learner corpora are presented, including Contrastive Interlanguage Analysis, Computer-aided Error Analysis and the Integrated Contrastive Model. The development of the field of learner corpus research is sketched, and possible future directions are examined, in terms of the size of learner corpora, their diversity, or the techniques of compilation and analysis. The chapter also features representative corpus-based studies of learner language, representative learner corpora, tools and resources related to learner corpora, and annotated references for further reading.
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Citations
Gilquin, G. (2020). Learner corpora. In Magali Paquot & Stefan Gries (ed.), A Practical Handbook of Corpus Linguistics (pp. 283-303). Springer. https://hdl.handle.net/2078.5/223847