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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
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Chan, Sathena; May, Lyn – Language Testing, 2023
Despite the increased use of integrated tasks in high-stakes academic writing assessment, research on rating criteria which reflect the unique construct of integrated summary writing skills is comparatively rare. Using a mixed-method approach of expert judgement, text analysis, and statistical analysis, this study examines writing features that…
Descriptors: Scoring, Writing Evaluation, Reading Tests, Listening Skills
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Vandeweerd, Nathan; Housen, Alex; Paquot, Magali – Language Testing, 2023
This study investigates whether re-thinking the separation of lexis and grammar in language testing could lead to more valid inferences about proficiency across modes. As argued by Römer, typical scoring rubrics ignore important information about proficiency encoded at the lexis-grammar interface, in particular how the co-selection of lexical and…
Descriptors: French, Language Tests, Grammar, Second Language Learning
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Tobia, Valentina; Ciancaleoni, Matteo; Bonifacci, Paola – Language Testing, 2017
In this study, two alternative theoretical models were compared, in order to analyze which of them best explains primary school children's text comprehension skills. The first one was based on the distinction between two types of answers requested by the comprehension test: local or global. The second model involved texts' input modality: written…
Descriptors: Elementary School Students, Language Tests, Foreign Countries, Comparative Analysis