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Humairah Fauziah; Yazid Basthomi; Nurenzia Yannuar – TESL-EJ, 2025
Concordancer tools have been used to help students learn aspects of written English by engaging them to access, examine, and analyze language examples in a corpus. Nonetheless, their efficacy remains uncertain when compared to other tools. This study compared a concordancer tool to Grammarly, QuillBot, Google search, online dictionaries, and…
Descriptors: Indexes, Computational Linguistics, English (Second Language), Second Language Learning
Jaeho Jeon; Seongyong Lee; Serafín M. Coronel-Molina – ELT Journal, 2024
Artificial intelligence (AI) technologies, particularly chatbots with speech-recognition, are gaining attention as tools for ELT. However, this frontline development in contemporary ELT seems to stand in stark contrast to the multilingual effort, another innovative trend, as chatbots' speech recognition capabilities are primarily attuned to native…
Descriptors: Artificial Intelligence, Computer Software, English (Second Language), Second Language Learning
Liontas, John I.; Bangun, Imelda V.; Li, Siying – Teaching English with Technology, 2023
This study investigated the efficacy of explicit lexical collocation instruction via the Corpus of Contemporary American English (COCA). To improve competence in lexical collocation and writing performance and to examine whether collocational competence and writing performance have a linear interrelation, 16 international English for Academic…
Descriptors: English for Academic Purposes, Second Language Learning, Second Language Instruction, Teaching Methods
Chung, Siaw-Fong – Taiwan Journal of TESOL, 2018
This paper explored a less-studied preposition, "after," and its uses in a corpus. The analysis included an inspection of dictionary senses, followed by the distributional patterns of parts-of-speech, the co-appearing verbs of "after," the contextual uses of [-"ly after"] and [-"ly after"+NOUN], and finally…
Descriptors: Computational Linguistics, Language Usage, Workshops, English (Second Language)
Fahler, Valentina; Bazerman, Charles – Across the Disciplines, 2019
This study examines the intellectual consequences of writing about data in relation to disciplinary concepts. We collected and studied written assignments from sixteen students in which they had to analyze data provided by the instructor in a general education linguistics course. We also surveyed them at the beginning, middle, and end of the…
Descriptors: Writing Assignments, Prior Learning, Language Attitudes, Teacher Attitudes

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