Applying phraseological complexity measures to L2 French

IF 1.1 0 LANGUAGE & LINGUISTICS International Journal of Learner Corpus Research Pub Date : 2021-10-11 DOI:10.1075/ijlcr.20015.van
Nathan Vandeweerd, Alex Housen, M. Paquot
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引用次数: 5

Abstract

This study partially replicates Paquot’s (2018, 2019) study of phraseological complexity in L2 English by investigating how phraseological complexity compares across proficiency levels as well as how phraseological complexity measures relate to lexical, syntactic and morphological complexity measures in a corpus of L2 French argumentative essays. Phraseological complexity is operationalized as the diversity (root type-token ratio; RTTR) and sophistication (pointwise mutual information; PMI) of three types of grammatical dependencies: adjectival modifiers, adverbial modifiers and direct objects. Results reveal a significant increase in the mean PMI of direct objects and the RTTR of adjectival modifiers across proficiency levels. In addition to phraseological sophistication, important predictors of proficiency include measures of lexical diversity, lexical sophistication, syntactic (phrasal) complexity and morphological complexity. The results provide cross-linguistic validation for the results of Paquot (2018, 2019) and further highlight the importance of including phraseological measures in the current repertoire of L2 complexity measures.
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二语法语短语复杂性测度的应用
本研究部分复制了Paquot(20182019)对二语英语中短语复杂性的研究,通过调查二语法语议论文语料库中短语复杂性在不同水平之间的比较,以及短语复杂性测量与词汇、句法和形态复杂性测量之间的关系。短语复杂性可操作为三种类型的语法依赖的多样性(词根类型表征比;RTTR)和复杂性(逐点互信息;PMI):形容词修饰语、状语修饰语和直接宾语。结果显示,在不同的熟练程度上,直接宾语的平均PMI和形容词修饰语的RTTR显著增加。除了短语复杂度之外,熟练度的重要预测因素还包括词汇多样性、词汇复杂度、句法(短语)复杂性和形态复杂性。该结果为Paquot(20182019)的结果提供了跨语言验证,并进一步强调了将短语学测量纳入当前二语复杂性测量的重要性。
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来源期刊
CiteScore
3.40
自引率
27.30%
发文量
0
期刊最新文献
Comparing theory-based models of grammatical complexity in student writing Review of Leńko-Szymańska & Götz (2022): Complexity, Accuracy and Fluency in Learner Corpus Research Review of Granger (2021): Perspectives on the L2 Phrasicon: The view from learner corpora The effect of linguistic and extralinguistic features on EFL adverb placement On learner characteristics and why we should model them as latent variables
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