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Supporting collocation learning with a digital library.

Authors :
Wu, Shaoqun
Franken, Margaret
Witten, IanH.
Source :
Computer Assisted Language Learning. Feb2010, Vol. 23 Issue 1, p87-110. 24p. 12 Color Photographs, 2 Charts.
Publication Year :
2010

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09588221
Volume :
23
Issue :
1
Database :
Academic Search Index
Journal :
Computer Assisted Language Learning
Publication Type :
Academic Journal
Accession number :
47926808
Full Text :
https://doi.org/10.1080/09588220903532971