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An Automatized Semantic Analysis of Two Large-Scale Listening Tests: A Corpus-Based Study
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Yufan Zhao; Vahid Aryadoust – Language Testing, 2025
This study examined the semantic features of the simulated mini-lectures in the listening sections of the International English Language Testing System (IELTS) and the Test of English as a Foreign Language (TOEFL) based on automatized semantic analysis to explore the content validity of the two tests. Two study corpora were utilized, the IELTS…
Descriptors: Semantics, Computational Linguistics, Academic Language, Second Language Learning
Predicting the Proficiency Level of Language Learners Using Lexical Indices
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Crossley, Scott A.; Salsbury, Tom; McNamara, Danielle S. – Language Testing, 2012
This study explores how second language (L2) texts written by learners at various proficiency levels can be classified using computational indices that characterize lexical competence. For this study, 100 writing samples taken from 100 L2 learners were analyzed using lexical indices reported by the computational tool Coh-Metrix. The L2 writing…
Descriptors: Semantics, Familiarity, Discriminant Analysis, Vocabulary Development
Predicting Lexical Proficiency in Language Learner Texts Using Computational Indices
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Crossley, Scott A.; Salsbury, Tom; McNamara, Danielle S.; Jarvis, Scott – Language Testing, 2011
The authors present a model of lexical proficiency based on lexical indices related to vocabulary size, depth of lexical knowledge, and accessibility to core lexical items. The lexical indices used in this study come from the computational tool Coh-Metrix and include word length scores, lexical diversity values, word frequency counts, hypernymy…
Descriptors: Semantics, Familiarity, Second Language Learning, Word Frequency