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Li, Shuangling – Language Learning & Technology, 2017
This article investigates the role of direct corpus use in learners' collocational competence in academic writing. An experiment was conducted between two groups of Chinese postgraduates who had no previous knowledge of corpora. It was embedded in a regular 4-month linguistics course in the students' programmes, where a corpus-assisted method was…
Descriptors: Phrase Structure, Computational Linguistics, Accuracy, Graduate Students
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Lee, Hansol; Warschauer, Mark; Lee, Jang Ho – Language Learning & Technology, 2017
The present study investigates the effects of two different vocabulary learning conditions in digital reading environments equipped with electronic textual glossing. The first condition presents the concordance lines of a target lexical item, thereby making learners infer its meaning by reading the referenced sentences. The second condition…
Descriptors: Indexes, Second Language Learning, Vocabulary Development, English (Second Language)
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Bardovi-Harlig, Kathleen; Mossman, Sabrina; Su, Yunwen – Language Learning & Technology, 2017
This study compares the effect of using corpus-based materials and activities for the instruction of pragmatic routines under two conditions: implementing direct corpus searches by learners during classroom instruction and working with teacher-developed corpus-based materials. The outcome is compared to a repeated-test control group. Pragmatic…
Descriptors: Computational Linguistics, Pragmatics, Control Groups, Comparative Analysis
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Furniss, Eddie A. – Language Learning & Technology, 2016
Pragmatic competence is essential for oral fluency and listening comprehension, allowing speakers to use and interpret language appropriately in varied contexts. The use of technological applications for teaching pragmatics is on the rise (Taguchi & Sykes, 2013), in part because they are well-suited to the types of awareness-raising tasks…
Descriptors: Pragmatics, Russian, Second Language Learning, Second Language Instruction
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Cowan, Ron; Choo, Jinhee; Lee, Gabseon Sunny – Language Learning & Technology, 2014
This study illustrates how a synergy of two technologies--Intelligent Computer-Assisted Language Learning (ICALL) and corpus linguistic analysis--can produce a lasting improvement in L2 learners' ability to edit persistent grammatical errors from their writing. A large written English corpus produced by Korean undergraduate and graduate students…
Descriptors: Computational Linguistics, Computer Assisted Instruction, Second Language Instruction, Second Language Learning