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Direct linkHellmich, Emily; Vinall, Kimberly – International Journal of Computer-Assisted Language Learning and Teaching, 2021
Machine translation (MT) platforms have gained increasing attention in the educational linguistics community. The current article extends past research on instructor beliefs about MT by way of an ecological theoretical framework. The study reports on a large-scale survey (n=165) of FL university-level instructors in the U.S. Findings indicate…
Descriptors: Second Language Learning, Second Language Instruction, Language Teachers, Teacher Attitudes
Man, Deliang; Lee, Kok Yueh; Chau, Meng Huat; Smidt, Esther – International Journal of Computer-Assisted Language Learning and Teaching, 2021
The advent of technology has facilitated the study of language development and writing development in the form of learner corpora. While learner corpus studies have flourished in recent years, few consider evaluative language development. This paper reports on a study which examines the use of evaluative that-clauses, a linguistic structure that…
Descriptors: Phrase Structure, Teaching Methods, Second Language Learning, Second Language Instruction
Wu, Shaoqun; Fitzgerald, Alannah; Yu, Alex; Witten, Ian – International Journal of Computer-Assisted Language Learning and Teaching, 2019
Learning collocations is one of the most challenging aspects of language learning as there are literally hundreds of thousands of possibilities for combining words. Corpus consultation with concordancers has been recognized in the literature as an established way for language learners to study and explore collocations at their own pace and in…
Descriptors: Phrase Structure, Computational Linguistics, Indexes, English (Second Language)
Yahya, Noorchaya; Alotaibi, Hind; El-Dakhs, Dina Abdel Salam – International Journal of Computer-Assisted Language Learning and Teaching, 2020
This study reveals the impact of using parallel corpora on EFL students' writing, and how students perceive it. Female undergraduates (n=46) in an EFL writing course in Saudi Arabia were divided randomly into experimental and control groups taught by the same instructor, using the same materials. Students in the experimental group were introduced…
Descriptors: Computational Linguistics, Females, Undergraduate Students, English (Second Language)
Qin, Ying – International Journal of Computer-Assisted Language Learning and Teaching, 2019
This study extracts the comments from a large scale of Chinese EFL learners' translation corpus to study the taxonomy of translation errors. Two unsupervised machine learning approaches are used to obtain the computational evidences of translation error taxonomy. After manually revision, ten types of English to Chinese (E2C) and eight types…
Descriptors: Taxonomy, Translation, Computer Assisted Instruction, Second Language Learning
Wu, Shaoqun; Li, Liang; Witten, Ian; Yu, Alex – International Journal of Computer-Assisted Language Learning and Teaching, 2018
This article reports on a language learning system and a program designed to help students with academic vocabulary in the New Zealand university computer science department. The system is a learner-friendly corpus-based tool that allows students to look up lexico-grammatical patterns of a given word in academic writing. The program, based on a…
Descriptors: Case Studies, Computer Science Education, Graduate Students, Academic Language
