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Vocabulary Learning and Instruction
Article . 2022 . Peer-reviewed
Data sources: Crossref
Open Science Framework
Other literature type . 2022
Data sources: Datacite
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Modeling Lexical and Phraseological Sophistication in Oral Proficiency Interviews: A Conceptual Replication

Authors: Eguchi, Masaki;

Modeling Lexical and Phraseological Sophistication in Oral Proficiency Interviews: A Conceptual Replication

Abstract

Building on previous studies investigating the multidimensional nature of lexical use in task-based L2 performance, this study clarified the roles that the distinct lexical features play in predicting vocabulary proficiency in a corpus of L2 Oral Proficiency Interviews (OPI). A total of 85 OPI samples were rated by three separate raters based on a Common European Frame of Reference (CEFR) based rubric in terms of their linguistic range. The interview transcription was analyzed for 56 lexical and phraseological indices using modern natural language processing tools. The result of an exploratory factor analysis (EFA) revealed that the 56 indices tapped into 10 distinct factors of lexical use in OPI: three factors related to content words, three related to n-grams, three lexical collocation factors, and one function-word factor. A subsequent Bayesian mixed-effect ordinal regression indicated that six out of the 10 factors meaningfully predicted the CEFR levels on Range with reasonable accuracy (quadratic kappa coefficient = .81 with the human rating). The result highlights the distinct roles that multiple content-word, collocation, and function-word factors play in characterizing the linguistic range in a CEFR-based assessment of OPI. The implication for the assessment of lexical richness, as well as future directions of this research domain, are discussed.

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Keywords

lexical sophistication, Oral Proficiency Interview, exploratory Factor Analysis, P118-118.7, Language acquisition, Bayesian mixed-effect ordinal regression

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold