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Direct linkCrosthwaite, Peter; Wong, Lillian L. C.; Cheung, Joyce – ReCALL, 2019
Data-driven learning (DDL; Johns, 1991), involving students' hands-on use of corpora for self-guided language learning, is a methodology now increasingly used in many tertiary contexts to enhance the teaching of disciplinary postgraduate thesis writing. However, there are still few studies tracking students' actual engagement with corpora for DDL.…
Descriptors: Data Analysis, Computational Linguistics, Independent Study, Second Language Learning
Crosthwaite, Peter – Computer Assisted Language Learning, 2017
An increasing number of studies have looked at the value of corpus-based data-driven learning (DDL) for second language (L2) written error correction, with generally positive results. However, a potential conundrum for language teachers involved in the process is how to provide feedback on students' written production for DDL. The study looks at…
Descriptors: Feedback (Response), Error Correction, Morphology (Languages), Syntax
Download full textEskin, Daniel – Working Papers in Applied Linguistics & TESOL, 2017
The way we ask for something, or "request," is hardly the same across all contexts. The degree to which we show politeness in these instances is closely related to a number of contextual factors (Brown & Levinson, 1987), manifested in the linguistic features that we employ (Blum-Kulka, House & Kasper, 1989; Searle, 1975).…
Descriptors: Second Language Learning, Second Language Instruction, Pragmatics, English (Second Language)
