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Korean Syntactic Complexity Analyzer (KOSCA): An NLP Application for the Analysis of Syntactic Complexity in Second Language Production

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Haerim Hwang; Hyunwoo Kim – Language Testing, 2024

Given the lack of computational tools available for assessing second language (L2) production in Korean, this study introduces a novel automated tool called the Korean Syntactic Complexity Analyzer (KOSCA) for measuring syntactic complexity in L2 Korean production. As an open-source graphic user interface (GUI) developed in Python, KOSCA provides…

Descriptors: Korean, Natural Language Processing, Syntax, Computer Graphics

Using Corpus Linguistics to Examine the Extrapolation Inference in the Validity Argument for a High-Stakes Speaking Assessment

Peer reviewed

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LaFlair, Geoffrey T.; Staples, Shelley – Language Testing, 2017

Investigations of the validity of a number of high-stakes language assessments are conducted using an argument-based approach, which requires evidence for inferences that are critical to score interpretation (Chapelle, Enright, & Jamieson, 2008b; Kane, 2013). The current study investigates the extrapolation inference for a high-stakes test of…

Descriptors: Computational Linguistics, Language Tests, Test Validity, Inferences