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ERIC Number: EJ875352
Record Type: Journal
Publication Date: 2010-Feb
Pages: 24
Abstractor: As Provided
Reference Count: 35
ISBN: N/A
ISSN: ISSN-0958-8221
Supporting Collocation Learning with a Digital Library
Wu, Shaoqun; Franken, Margaret; Witten, Ian H.
Computer Assisted Language Learning, v23 n1 p87-110 Feb 2010
Extensive knowledge of collocations is a key factor that distinguishes learners from fluent native speakers. Such knowledge is difficult to acquire simply because there is so much of it. This paper describes a system that exploits the facilities offered by digital libraries to provide a rich collocation-learning environment. The design is based on three processes that have been identified as leading to lexical acquisition: noticing, retrieval and generation. Collocations are automatically identified in input documents using natural language processing techniques and used to enhance the presentation of the documents and also as the basis of exercises, produced under teacher control, that amplify students' collocation knowledge. The system uses a corpus of 1.3 B short phrases drawn from the web, from which 29 M collocations have been automatically identified. It also connects to examples garnered from the live web and the British National Corpus. (Contains 2 tables, 12 figures and 9 notes.)
Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A