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Direct linkDongkawang Shin; Yuah V. Chon – Language Learning & Technology, 2023
Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…
Descriptors: Second Language Learning, Second Language Instruction, Translation, Computer Software
Peer reviewedEskenazi, Maxine – Language Learning & Technology, 1999
Discusses the possible use of automatic speech recognition (ASR) for training students to improve their accents in a foreign language. Principles of good language training as well as the limits of the use of ASR and how to deal with them are discussed, and an example from the Carnegie Mellon FLUENCY system is used to show how such a system may…
Descriptors: Error Correction, Feedback, Higher Education, Language Processing
