Assessing syntactic sophistication in L2 writing: A usage-based approach

被引:98
作者
Kyle, Kristopher [1 ]
Crossley, Scott [2 ]
机构
[1] Univ Hawaii Manoa, Moore Hall 587,1890 East West Rd, Honolulu, HI 96822 USA
[2] Georgia State Univ, Atlanta, GA 30303 USA
关键词
Automatic essay scoring; corpus-based; natural language processing; syntactic complexity; usage-based; writing assessment; CONTEMPORARY-AMERICAN-ENGLISH; COMPLEXITY-MEASURES; CORPUS; ARGUMENT; LINGUISTICS; JUDGMENTS; SPEAKING; INDEXES; VERBS;
D O I
10.1177/0265532217712554
中图分类号
H0 [语言学];
学科分类号
030303 ; 0501 ; 050102 ;
摘要
Over the past 45 years, the construct of syntactic sophistication has been assessed in L2 writing using what Bulte and Housen (2012) refer to as absolute complexity (Lu, 2011; Ortega, 2003; Wolfe-Quintero, Inagaki, & Kim, 1998). However, it has been argued that making inferences about learners based on absolute complexity indices (e.g., mean length of t-unit and mean length of clause) may be difficult, both from practical and theoretical perspectives (Norris & Ortega, 2009). Furthermore, indices of absolute complexity may not align with some prominent theories of language learning such as usage-based theories (e.g., Ellis, 2002a,b). This study introduces a corpus-based approach for measuring syntactic sophistication in L2 writing using a usage-based, frequency-driven perspective. Specifically, novel computational indices related to the frequency of verb argument constructions (VACs) and the strength of association between VACs and the verbs that fill them (i.e., verb-VAC combinations) are developed. These indices are then compared against traditional indices of syntactic complexity (e.g., mean length of T-unit and mean length of clause) with regard to their ability to model one aspect of holistic scores of writing quality in Test of English as a Foreign Language (TOEFL) independent essays. Indices related to usage-based theories of syntactic development explained greater variance (R-2=.142) in holistic scores of writing quality than traditional methods of assessing syntactic complexity (R-2=.058). The results have important implications for modeling syntactic sophistication, L2 writing assessment, and AES systems.
引用
收藏
页码:513 / 535
页数:23
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