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Direct linkBlake, John – RELC Journal: A Journal of Language Teaching and Research, 2020
A purpose-built online error detection tool was developed to provide genre-specific corpus-based feedback on errors occurring in draft research articles and graduation theses. The primary envisaged users were computer science majors studying at a public university in Japan. This article discusses the development and evaluation of this interactive,…
Descriptors: Feedback (Response), Usability, Error Analysis (Language), Computational Linguistics
