ERIC Number: EJ1155005
Record Type: Journal
Publication Date: 2017-Oct
Pages: 19
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0265-5322
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Available Date: N/A
Automated Measurement of Syntactic Complexity in Corpus-Based L2 Writing Research and Implications for Writing Assessment
Lu, Xiaofei
Language Testing, v34 n4 p493-511 Oct 2017
Research investigating corpora of English learners' language raises new questions about how syntactic complexity is defined theoretically and operationally for second language (L2) writing assessment. I show that syntactic complexity is important in construct definitions and L2 writing rating scales as well as in L2 writing research. I describe the operationalizations of syntactic complexity measurement in corpus-based L2 writing research, focusing on the Biber Tagger (Biber, Johansson, Leech, Conrad, & Finegan, 1999), Coh-Metrix (McNamara, Graesser, McCarthy, & Cai, 2014), and L2 Syntactic Complexity Analyzer (Lu, 2010), which are three tools commonly used to automate syntactic complexity analysis. A review of findings from recent corpus-based L2 writing studies on the relationship of syntactic complexity to L2 writing quality follows. I conclude with a discussion of the implications of these multiple perspectives on the definition of syntactic complexity in L2 studies.
Descriptors: Syntax, Computational Linguistics, Second Language Learning, Writing Research, Writing Evaluation, Rating Scales, English (Second Language), Language Tests, Language Proficiency, Grammar, Computer Assisted Testing, Correlation, Phrase Structure
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
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Identifiers - Assessments and Surveys: Test of English as a Foreign Language
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