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Measuring Syntactic Complexity in L2 Writing Using Fine‐Grained Clausal and Phrasal Indices
354
Citations
34
References
2018
Year
Second Language WritingSyntactic ParsingWriting AssessmentSyntactic ComplexitySyntactic StructureLanguage ProficiencyLanguage Assessment (Second Language Acquisition)Natural Language ProcessingSyntaxForeign Language WritingLanguage TestingLanguage Assessment (Speech Language Pathology)GrammarCorpus AnalysisLanguage StudiesAbstract Syntactic ComplexityWriting InstructionEnglish WritingForeign LanguageLanguage ComprehensionLexical Complexity PredictionLinguisticsPhrasal Indices
Syntactic complexity is a key indicator of L2 writing proficiency, but traditional indices such as mean length of T‑unit have been criticized for interpretive difficulty and an overemphasis on clausal subordination. The study aims to evaluate whether fine‑grained clausal and phrasal complexity indices, alongside traditional measures, better predict holistic writing quality. Four independent TOEFL essay studies employed traditional, fine‑grained clausal, and fine‑grained phrasal indices to predict holistic writing scores, and a combined model incorporated all index types. Fine‑grained phrasal complexity indices outperformed both traditional and fine‑grained clausal indices in predicting writing quality, with a single clausal index also improving the combined model, supporting Biber et al.’s claims.
Abstract Syntactic complexity is an important measure of second language (L2) writing proficiency (Larsen–Freeman, 1978; Lu, 2011). Large‐grained indices such as the mean length of T‐unit (MLTU) have been used with the most consistency in L2 writing studies (Ortega, 2003). Recently, indices such as MLTU have been criticized, both for the difficulty in interpretation (e.g., Norris & Ortega, 2009) and for a potentially misplaced focus on clausal subordination (e.g., Biber, Gray, & Poonpon, 2011). In this article, we attempt to address both of these criticisms by using traditional indices of syntactic complexity (e.g., MLTU), fine‐grained indices of clausal complexity, and fine‐grained indices of phrasal complexity to predict holistic scores of writing quality. In 4 studies, we used indices of each index type to predict holistic writing quality scores in independent essays on the Test of English as a Foreign Language (TOEFL). We then used all index types in a combined analysis to predict a holistic writing score. The results indicated that fine‐grained indices of phrasal complexity were better predictors of writing quality than either traditional or fine‐grained clausal indices, though a single fine‐grained index of clausal complexity contributed to the combined model. These results provide some support for Biber et al.’s (2011) claims regarding complexity and academic L2 writing proficiency.
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