NotesFAQContact Us
Search Tips
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ812463
Record Type: Journal
Publication Date: 2008-Oct
Pages: 15
Abstractor: As Provided
ISSN: ISSN-0958-8221
A Computational Approach to Detecting Collocation Errors in the Writing of Non-Native Speakers of English
Futagi, Yoko; Deane, Paul; Chodorow, Martin; Tetreault, Joel
Computer Assisted Language Learning, v21 n4 p353-367 Oct 2008
This paper describes the first prototype of an automated tool for detecting collocation errors in texts written by non-native speakers of English. Candidate strings are extracted by pattern matching over POS-tagged text. Since learner texts often contain spelling and morphological errors, the tool attempts to automatically correct them in order to reduce noise. For a measure of collocation strength, we use the rank-ratio statistic calculated over one billion words of native-speaker texts. Two human annotators evaluated the system's performance. We report the overall results, as well as detailed error analyses, and discuss possible improvements for the future. (Contains 7 notes, 8 tables, and 1 figure.)
Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A