Coding all clauses in L2 data: A call for consistency

MaryLou Vercellotti , Sean Hall
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Abstract

Linguistic complexity is considered a hallmark of language proficiency (Norris & Ortega, 2009), and it is often a focus of second language (L2) research (Pallotti, 2015). Within the construct of complexity, syntactic complexity considers the combination of words and clauses. The term clause, however, is underspecified in the field, and L2 researchers only occasionally define how clause is operationalized in the coding. After a review of the importance of consistent clause coding, this commentary argues that coordinated verb phrases, nonfinite clauses, and verbal small clauses can reach the complexity of finite clauses by the production of another element, making these constructions commensurate with subordinate finite clauses. Since these constructions are structurally similar to accepted clauses (e.g., imperatives), their exclusion from the clausal complexity calculation threatens the validity and reliability of the coding. Because a narrow definition requires an arbitrary division along a continuum of complex verbal constructions, the field should adopt this broader definition of clause. Further, researchers should clarify their methodology choices and acknowledge coding challenges, which are common in L2 data, especially L2 speech data. The increased transparency in research methodology supports the interpretation of research results and facilitates comparisons across L2 studies.

对 L2 数据中的所有条款进行编码:呼吁一致性
语言复杂性被认为是语言能力的标志(Norris & Ortega, 2009),它通常也是第二语言(L2)研究的重点(Pallotti, 2015)。在复杂性结构中,句法复杂性考虑的是单词和分句的组合。然而,分句一词在该领域的定义并不明确,L2 研究人员只是偶尔定义分句在编码中的操作方式。在回顾了连贯的分句编码的重要性之后,本评注认为,协调动词短语、非限定分句和动词小分句可以通过产生另一个要素达到限定分句的复杂程度,从而使这些结构与从属限定分句相称。由于这些结构在结构上与公认的分句(如祈使句)相似,因此将它们排除在分句复杂度计算之外会威胁到编码的有效性和可靠性。由于狭义的定义要求沿着复杂言语结构的连续统一体进行任意划分,因此该领域应该采用这种更宽泛的分句定义。此外,研究人员应明确其方法选择,并承认编码挑战,这在 L2 数据,尤其是 L2 语音数据中很常见。提高研究方法的透明度有助于解释研究结果,也有助于对不同的 L2 研究进行比较。
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