Litcius/Paper detail

Integrating Machine Translation Into EFL Writing Instruction: Process, Product and Perception

Jian Wang, Xinli Ke

2022Journal of Language Teaching and Research10 citationsDOIOpen Access PDF

Abstract

Although there is a great demand for machine translation (MT) among language learners, its potentials as a computer-assisted language learning aid remain under-explored. Against this backdrop, this study adopted a mixed research method and conducted a semester-long empirical investigation into how EFL learners in mainland China used MT to assist their writing, whether MT helped improve their writing competence and how they perceived MT in EFL writing instruction. The major findings comprise: 1) By using MT students made more lexical and grammatical changes in essay revision; 2) MT helped improve the learners’ overall writing competence, and particularly had a greater effect on writing accuracy and lexical complexity than on other dimensions; 3) Students generally held a positive attitude towards incorporating MT into EFL writing instruction.

Topics & Concepts

Competence (human resources)Computer scienceMainland ChinaMathematics educationMachine translationPerceptionSecond language writingPsychologyLinguisticsNatural language processingSecond languageChinaPolitical sciencePhilosophySocial psychologyNeuroscienceLawNatural Language Processing TechniquesText Readability and SimplificationSecond Language Acquisition and Learning