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Aryadoust, Vahid; Ang, Bee Hoon – Computer Assisted Language Learning, 2021
Eye tracking technology has become an increasingly popular methodology in language studies. Using data from 27 journals in language sciences indexed in the Social Science Citation Index and/or Scopus, we conducted an in-depth scientometric analysis of 341 research publications together with their 14,866 references between 1994 and 2018. We…
Descriptors: Eye Movements, Sex Stereotypes, Research Reports, Trend Analysis
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Reynolds, Barry Lee; Kao, Chian-Wen – Computer Assisted Language Learning, 2021
Feedback researchers have given little attention to how administration of language-focused instruction before writing in a second language combined with subsequent error correction after writing can affect the grammatical accuracy of learners' future writing. Moreover, the mode of the instruction (i.e., teacher instruction or game-based…
Descriptors: Instructional Effectiveness, Direct Instruction, Second Language Instruction, Second Language Learning
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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
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Daskalovska, Nina – Computer Assisted Language Learning, 2015
One of the aspects of knowing a word is the knowledge of which words it is usually used with. Since knowledge of collocations is essential for appropriate and fluent use of language, learning collocations should have a central place in the study of vocabulary. There are different opinions about the best ways of learning collocations. This study…
Descriptors: Computational Linguistics, Phrase Structure, Verbs, Form Classes (Languages)
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Kiliçkaya, Ferit – Computer Assisted Language Learning, 2015
This study aims to find out whether there are any statistically significant differences in participants' achievements on three different types of instruction: computer-based instruction, teacher-driven instruction, and teacher-driven grammar supported by computer-based instruction. Each type of instruction follows the deductive approach. The…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Grammar
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de la Fuente, María José – Computer Assisted Language Learning, 2014
This study explores the differential effects of medium of delivery of aural input during listening tasks on learners noticing and type of comprehension (top-down and bottom-up) of Spanish object pronouns during focus on form listening tasks. Twenty-two college students enrolled in second year Spanish in a technology-enhanced classroom participated…
Descriptors: Linguistic Input, Second Language Learning, Second Language Instruction, Protocol Analysis
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Futagi, Yoko; Deane, Paul; Chodorow, Martin; Tetreault, Joel – Computer Assisted Language Learning, 2008
This paper describes the first prototype of an automated tool for detecting collocation errors in texts written by non-native speakers of English. Candidate strings are extracted by pattern matching over POS-tagged text. Since learner texts often contain spelling and morphological errors, the tool attempts to automatically correct them in order to…
Descriptors: Native Speakers, English (Second Language), Limited English Speaking, Computational Linguistics
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Vlugter, P.; Knott, A.; McDonald, J.; Hall, C. – Computer Assisted Language Learning, 2009
We describe a computer assisted language learning (CALL) system that uses human-machine dialogue as its medium of interaction. The system was developed to help students learn the basics of the Maori language and was designed to accompany the introductory course in Maori running at the University of Otago. The student engages in a task-based…
Descriptors: College Students, Introductory Courses, Malayo Polynesian Languages, Pretests Posttests
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Yeh, Yuli; Liou, Hsien-Chin; Li, Yi-Hsin – Computer Assisted Language Learning, 2007
The phenomenon of overused adjectives by non-native speaking learners (NNS) has been pinpointed by recent research. This study designed five online units for increasing students' awareness of underused specific adjectives for EFL college writing. Five units were developed for five identified overused adjectives: "important", "beautiful", "hard",…
Descriptors: Majors (Students), Student Attitudes, English (Second Language), Second Language Learning