A Computational Approach to Detecting Collocation Errors in the Writing of Non-Native Speakers of English

Autor/inn/en	Futagi, Yoko; Deane, Paul; Chodorow, Martin; Tetreault, Joel
Titel	A Computational Approach to Detecting Collocation Errors in the Writing of Non-Native Speakers of English
Quelle	In: Computer Assisted Language Learning, 21 (2008) 4, S.353-367 (15 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0958-8221
Schlagwörter	Native Speakers; English (Second Language); Limited English Speaking; Computational Linguistics; Language Patterns; Error Correction; Error Patterns; Form Classes (Languages); Second Language Learning; Computer Assisted Instruction; College Students + Suchen Sie Ihr Suchwort? Muttersprachler; English as second language; English; Second Language; Englisch als Zweitsprache; Linguistics; Computerlinguistik; Sprachmodell; Sprachstruktur; Korrektur; Fehlertyp; Analytischer Sprachbau; Zweitsprachenerwerb; Computer based training; Computerunterstützter Unterricht; Collegestudent
Abstract	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.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10