Premium
Collocations in Corpus‐Based Language Learning Research: Identifying, Comparing, and Interpreting the Evidence
Author(s) -
Gablasova Dana,
Brezina Vaclav,
McEnery Tony
Publication year - 2017
Publication title -
language learning
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.882
H-Index - 103
eISSN - 1467-9922
pISSN - 0023-8333
DOI - 10.1111/lang.12225
Subject(s) - collocation (remote sensing) , corpus linguistics , linguistics , modalities , interpretation (philosophy) , psychology , natural language processing , field (mathematics) , language acquisition , computer science , artificial intelligence , sociology , social science , philosophy , mathematics , machine learning , pure mathematics
This article focuses on the use of collocations in language learning research (LLR). Collocations, as units of formulaic language, are becoming prominent in our understanding of language learning and use; however, while the number of corpus‐based LLR studies of collocations is growing, there is still a need for a deeper understanding of factors that play a role in establishing that two words in a corpus can be considered to be collocates. In this article we critically review both the application of measures used to identify collocability between words and the nature of the relationship between two collocates. Particular attention is paid to the comparison of collocability across different corpora representing different genres, registers, or modalities. Several issues involved in the interpretation of collocational patterns in the production of first language and second language users are also considered. Reflecting on the current practices in the field, further directions for collocation research are proposed.