ERIC Number: EJ1111357
Record Type: Journal
Publication Date: 2008-Oct
Pages: 43
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-2330-8516
EISSN: N/A
Applying Content Similarity Metrics to Corpus Data: Differences between Native and Non-Native Speaker Responses to a TOEFL® Integrated Writing Prompt. Research Report. ETS RR-08-51
Deane, Paul; Gurevich, Olga
ETS Research Report Series, Oct 2008
For many purposes, it is useful to collect a corpus of texts all produced to the same stimulus, whether to measure performance (as on a test) or to test hypotheses about population differences. This paper examines several methods for measuring similarities in phrasing and content and demonstrates that these methods can be used to identify population differences between native and non-native speakers of English in a writing task.
Descriptors: Test Content, Computational Linguistics, Native Speakers, Writing Tests, English (Second Language), Second Language Learning, Prompting, Cues, Comparative Analysis, Language Tests, Grammar, Language Usage, Phrase Structure, Scores, Correlation, Multiple Regression Analysis, Statistical Analysis
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Test of English as a Foreign Language
Grant or Contract Numbers: N/A