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Almogheerah, Ameera – Arab World English Journal, 2020
The study aimed at investigating the effect of using WhatsApp-based learning activities on developing idiom knowledge among Saudi university English as a foreign language (EFL)students compared to conventional method. It also examined the students' perceptions towards the application of WhatsApp in idiom-learning. The rationale for conducting this…
Descriptors: Computer Mediated Communication, Foreign Countries, Females, English (Second Language)
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Yuan, Chenjie; González-Fuente, Santiago; Baills, Florence; Prieto, Pilar – Studies in Second Language Acquisition, 2019
Recent studies on the learning of L2 prosody have suggested that pitch gestures can enhance the learning of the L2 lexical tones. Yet it remains unclear whether the use of these gestures can aid the learning of L2 intonation, especially by tonal-language speakers. Sixty-four Mandarin speakers with basic-level Spanish were asked to learn three…
Descriptors: Spanish, Mandarin Chinese, Second Language Learning, Second Language Instruction
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Kennedy, Claire; Miceli, Tiziana – Computer Assisted Language Learning, 2017
While there is widespread agreement on the expected benefits of hands-on access to corpora for language learners, reports abound of the difficulties involved in realising those benefits in practice. A particular focus of discussion is the challenge of transferring the skills of the corpus linguist to learners, so that they can explore this type of…
Descriptors: Computational Linguistics, Teaching Methods, Second Language Learning, Second Language Instruction
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Chen, Mei-Hua – Taiwan Journal of TESOL, 2019
Lexical competence is considered as an important indicator of language proficiency. While learning vocabulary, learners need to remember various aspects of knowledge about the word (e.g., meaning, form and use). Many vocabulary learning strategies have been proposed to help learners consolidate vocabulary knowledge. Among them, grouping words…
Descriptors: Phrase Structure, Vocabulary Development, Computational Linguistics, Chinese
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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
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Jeaco, Stephen – TESOL International Journal, 2017
While studies exploring the overall effectiveness of Data Driven Learning activities have been positive, learner participants often seem to report difficulties in deciding what to look up, and how to formulate appropriate queries for a search (Gabel, 2001; Sun, 2003; Yeh, Liou, & Li, 2007). "The Prime Machine" (Jeaco, 2015) was…
Descriptors: Learning Activities, Second Language Learning, Second Language Instruction, Computer Assisted Instruction
Allora, Adriano; Corino, Elisa; Onesti, Cristina – European Association for Computer-Assisted Language Learning (EUROCALL), 2012
The present paper shows the first results of a linguistic project devoted to the construction of web learning tools for reinforcing sensitivity to diaphasic varieties and for learning style variation in L2/LS learning. (Contains 1 figure and 1 footnote.) [Support for this research was provided by the VALERE Project.]
Descriptors: Language Variation, Language Usage, Second Language Instruction, Second Language Learning
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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