Judging Grammaticality: Experiments in Sentence Classification

Autor/inn/en	Wagner, Joachim; Foster, Jennifer; van Genabith, Josef
Titel	Judging Grammaticality: Experiments in Sentence Classification
Quelle	In: CALICO Journal, 26 (2009) 3, S.474-490 (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0742-7778
Schlagwörter	Sentences; Language Processing; Natural Language Processing; Grammar; Classification; Syntax; Second Language Learning; English (Second Language); Oral Language; Verbs; Foreign Countries; Probability; Computer Uses in Education; Ireland + Suchen Sie Ihr Suchwort? Sentence analysis; Satzanalyse; Sprachverarbeitung; Natürliche Sprache; Grammatik; Classification system; Klassifikation; Klassifikationssystem; Zweitsprachenerwerb; English as second language; English; Second Language; Englisch als Zweitsprache; Oral interpretation; Mündlicher Sprachgebrauch; Ausland; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Computernutzung; Irland
Abstract	A classifier which is capable of distinguishing a syntactically well formed sentence from a syntactically ill formed one has the potential to be useful in an L2 language-learning context. In this article, we describe a classifier which classifies English sentences as either well formed or ill formed using information gleaned from three different natural language processing techniques. We describe the issues involved in acquiring data to train such a classifier and present experimental results for this classifier on a variety of ill formed sentences. We demonstrate that (a) the combination of information from a variety of linguistic sources is helpful, (b) the trade-off between accuracy on well formed sentences and accuracy on ill formed sentences can be fine tuned by training multiple classifiers in a voting scheme, and (c) the performance of the classifier is varied, with better performance on transcribed spoken sentences produced by less advanced language learners. (Contains 2 figures, 1 table and 8 notes.) (As Provided).
Anmerkungen	Computer Assisted Language Instruction Consortium. 214 Centennial Hall, 601 University Drive, San Marcos, TX 78666. Tel: 512-245-1417; Fax: 512-245-9089; e-mail: info@calico.org: Web site: http://calico.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10