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Direct linkGoh, Tiong-Thye; Sun, Hui; Yang, Bing – Computer Assisted Language Learning, 2020
This study investigates the extent to which microfeatures -- such as basic text features, readability, cohesion, and lexical diversity based on specific word lists -- affect Chinese EFL writing quality. Data analysis was conducted using natural language processing, correlation analysis and stepwise multiple regression analysis on a corpus of 268…
Descriptors: Essays, Writing Tests, English (Second Language), Second Language Learning
Linking Adverbials in First-Year Korean University EFL Learners' Writing: A Corpus-Informed Analysis
Ha, Myung-Jeong – Computer Assisted Language Learning, 2016
This study examines the frequency and usage patterns of linking adverbials in Korean students' essay writing in comparison with native English writing. The learner corpus used in the present study is composed of 105 essays that were produced by first-year university students in Korea. The control corpus was taken from the American LOCNESS…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Asians
Geluso, Joe – Computer Assisted Language Learning, 2013
Usage-based theories of language learning suggest that native speakers of a language are acutely aware of formulaic language due in large part to frequency effects. Corpora and data-driven learning can offer useful insights into frequent patterns of naturally occurring language to second/foreign language learners who, unlike native speakers, are…
Descriptors: Native Speakers, English (Second Language), Search Engines, Second Language Learning
