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Wu, Yi-ju – Language Learning & Technology, 2021
Adopting the approaches of "pattern hunting" and "pattern refining" (Kennedy & Miceli, 2001, 2010, 2017), this study investigates how seven freshman English students from Taiwan used the Corpus of Contemporary American English to discover collocation patterns for 30 near-synonymous change-of-state verbs and new ideas about…
Descriptors: Phrase Structure, Teaching Methods, Second Language Learning, Second Language Instruction
Behrens, Susan J.; Chirinos, Yoshivel; Spencer, Marisa; Spradley, Sonya – NADE Digest, 2016
Utilizing the framework of educational linguistics, we investigate ways to foster greater awareness of, and facility with, academic English for educators and students across disciplines by maximizing the popularity of language-related software packages, applications and websites, those already commonly found in and out of the classroom. Our work…
Descriptors: Academic Discourse, Computer Software, Metalinguistics, Web Sites
Smirnova, Elizaveta A. – RELC Journal: A Journal of Language Teaching and Research, 2017
This article describes the gathered experience in using corpora in an IELTS preparation course. The practice demonstrates an attempt to reduce negative washback effects occurring when preparation courses just concentrate on the test format neglecting the importance of development of learners' language skills and general study skills. Some…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computational Linguistics
Liu, Jiangtao – TESL-EJ, 2009
For various reasons, second language learners modify their speech by means of self-repair. This study, based on a small-scale corpus, shows the patterns and features of self-repairs by intermediate Chinese learners of English. The results suggest that intermediate Chinese learners of English more frequently make repairs than advanced Chinese…
Descriptors: Oral Language, Chinese, Native Speakers, Second Language Learning
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