Friend or foe? Google translate in language for academic purposes

Michael GROVES, Klaus MUNDT*

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

83 Citations (Scopus)

Abstract

A recent development in digital technology, machine translation (MT), is improving in its ability to translate with grammatical and lexical accuracy, and is also becoming increasingly available for students of language for academic purposes. Given the acceptance of other digital technology for teaching and learning, it seems likely that machine translation will become a tool students will rely on to complete their assignments in a second language. This would have implications for the community of practice of academic language teaching. In this study students were asked to submit an essay in their first language and this was then translated into English through a web-based translation engine. The resulting English text was analysed for grammatical error. The analysis found that the translation engine was far from able to produce error-free text - however, judging in relation to international testing standards, the level of accuracy is approaching the minimum needed for university admission at many institutions. Thus, this paper sets out to argue, based on the assumption that MT will continue to improve, that this technology will have a profound influence on the teaching of Languages for Academic Purposes, and with imaginative use, will allow this influence to be positive for both the students and their instructors.

Original languageEnglish
Pages (from-to)112-121
Number of pages10
JournalEnglish for Specific Purposes
Volume37
DOIs
Publication statusPublished - Jan 2015
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2014 Elsevier Ltd.

Keywords

  • Academic literacy
  • IT in SLA
  • Language for academic purposes
  • Machine translation

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