arrow
Return

Supporting collocation learning with a digital library

delete2010-02-01
delete18
delete
OA
AI
S
Shaoqun Wu *
M
Margaret Franken
I
Ian H. Witten
DOI:10.1080/09588220903532971delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
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 1.3B short phrases drawn from the web, from which 29M collocations have been automatically identified. It also connects to examples garnered from the live web and the British National Corpus.
Keywords:
CALL
collocation learning
collocation activities
automatic answer generation
cherry-picking
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Computer Assisted Language Learning cover
Computer Assisted Language Learning
IF:
6.6
Papers:
3.0K
Citations:
5.2K

Organization

U
University of Waikato
Scholars:
2.9K
Papers: 3.4K
Citations: 4.6K