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Blake, 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
Blake, John – Research-publishing.net, 2020
This article describes the development of a tense and aspect identifier, an online tool designed to help learners of English by harnessing a natural language processing pipeline to automatically classify verb groups into one of 12 grammatical tenses. Currently, there is no website or application that can automatically identify tense in context,…
Descriptors: Verbs, Computer Software, Teaching Methods, Computer Assisted Instruction
Blake, John – Research-publishing.net, 2019
Prototypes of an annotated scientific text visualizer were designed, developed, and deployed. This pedagogic tool is designed to help undergraduates draft short research articles that conform to the generic expectations of their discourse community. This online tool enables users to discover and explore the language features present in short…
Descriptors: Visualization, Discovery Learning, Writing (Composition), Individualized Instruction
Purgina, Marina; Mozgovoy, Maxim; Blake, John – Journal of Educational Computing Research, 2020
Gamification of language learning is a clear trend of recent years. Widespread use of smartphones and the rise of mobile gaming as a popular leisure activity contribute to the popularity of gamification, as application developers can rely on an unprecedented reach of their products and expect acceptance of game-like elements by the users. In terms…
Descriptors: Computer Games, Computer Simulation, Grammar, Computer Software

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