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Zhang, Hong; Torres-Hostench, Olga – Language Learning & Technology, 2022
The main purpose of this study is to evaluate the effectiveness of Machine Translation Post-Editing (MTPE) training for FL students. Our hypothesis was that with specific MTPE training, students will able to detect and correct machine translation mistakes in their FL. Training materials were developed to detect six typical mistakes from Machine…
Descriptors: Computational Linguistics, Translation, Second Language Learning, Second Language Instruction
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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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Belz, Julie A.; Vyatkina, Nina – Language Learning & Technology, 2008
Although corpora have been used in language teaching for some time, few empirical studies explore their impact on learning outcomes. We provide a microgenetic account of learners' responses to corpus-driven instructional units for German modal particles and pronominal "da"-compounds. The units are based on developmental corpus data produced by…
Descriptors: Language Usage, Teaching Methods, Native Speakers, German