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-08-51Reportar como inadecuado




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 - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.



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

Educational Testing Service. Rosedale Road, MS19-R Princeton, NJ 08541. Tel: 609-921-9000; Fax: 609-734-5410; e-mail: RDweb[at]ets.org; Web site: https://www.ets.org/research/policy_research_reports/ets





Autor: Deane, Paul; Gurevich, Olga

Fuente: https://eric.ed.gov/?q=a&ft=on&ff1=dtySince_1992&pg=1826&id=EJ1111357







Documentos relacionados