Neural machine translation in foreign language teaching  and learning: a systematic review

Klimova, Blanka; Pikhart, Marcel; Delorme Benites, Alice; Lehr, Caroline; Sanchez-Stockhammer, Christina

doi:10.1007/s10639-022-11194-2

Publication type:	Article in scientific journal
Type of review:	Peer review (publication)
Title:	Neural machine translation in foreign language teaching and learning: a systematic review
Authors:	Klimova, Blanka Pikhart, Marcel Delorme Benites, Alice Lehr, Caroline Sanchez-Stockhammer, Christina
et. al:	No
DOI:	10.1007/s10639-022-11194-2
Published in:	Education and Information Technologies
Volume(Issue):	28
Issue:	1
Page(s):	663
Pages to:	682
Issue Date:	Jul-2022
Publisher / Ed. Institution:	Springer
ISSN:	1360-2357 1573-7608
Language:	English
Subjects:	Neural machine translation; Foreign language education; Applied Linguistics; L2
Subject (DDC):	006: Special computer methods 418.02: Translating and interpreting
Abstract:	Nowadays, hardly anyone working in the field of foreign language teaching and learning can imagine life without machine translation (MT) tools. Thanks to the rapid development of artificial intelligence, MT now most widely assumes a new form, the so-called Neural Machine Translation (NMT), which offers the potential for a wide application in foreign language learning (FLL). Therefore, the purpose of this review study is to explore different approaches to the efficient implementation of NMT into FLL and provide specific pedagogical implications for best practices. The PRISMA methodology for systematic reviews and meta-analyses was strictly followed. The search was conducted in two well-established databases, specifically Scopus and Web of Science, to generate sufficient data from research articles for further analysis. The findings of this systematic review indicate that NMT is an efficient tool for developing both productive (speaking and writing) and receptive (reading and listening) language skills, including mediation skills, which are relevant for translation. Moreover, the results show that NMT tools are especially suitable for advanced learners of L2, whose higher proficiency level enables them to critically reflect on the output of NMT texts more than beginners or lower-intermediate learners. Thus, the findings of this review study reveal that NMT has valuable implications for L2 pedagogy since it can serve as a very powerful online reference tool for FLL provided that teachers introduce students to its benefits but also limitations by implementing various teaching approaches.
URI:	https://digitalcollection.zhaw.ch/handle/11475/25281
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	Applied Linguistics
Organisational Unit:	Institute of Translation and Interpreting (IUED)
Appears in collections:	Publikationen Angewandte Linguistik

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Klimova, B., Pikhart, M., Delorme Benites, A., Lehr, C., & Sanchez-Stockhammer, C. (2022). Neural machine translation in foreign language teaching and learning: a systematic review. Education and Information Technologies, 28(1), 663–682. https://doi.org/10.1007/s10639-022-11194-2

Klimova, B. et al. (2022) ‘Neural machine translation in foreign language teaching and learning: a systematic review’, Education and Information Technologies, 28(1), pp. 663–682. Available at: https://doi.org/10.1007/s10639-022-11194-2.

B. Klimova, M. Pikhart, A. Delorme Benites, C. Lehr, and C. Sanchez-Stockhammer, “Neural machine translation in foreign language teaching and learning: a systematic review,” Education and Information Technologies, vol. 28, no. 1, pp. 663–682, Jul. 2022, doi: 10.1007/s10639-022-11194-2.

KLIMOVA, Blanka, Marcel PIKHART, Alice DELORME BENITES, Caroline LEHR und Christina SANCHEZ-STOCKHAMMER, 2022. Neural machine translation in foreign language teaching and learning: a systematic review. Education and Information Technologies. Juli 2022. Bd. 28, Nr. 1, S. 663–682. DOI 10.1007/s10639-022-11194-2

Klimova, Blanka, Marcel Pikhart, Alice Delorme Benites, Caroline Lehr, and Christina Sanchez-Stockhammer. 2022. “Neural Machine Translation in Foreign Language Teaching and Learning: A Systematic Review.” Education and Information Technologies 28 (1): 663–82. https://doi.org/10.1007/s10639-022-11194-2.

Klimova, Blanka, et al. “Neural Machine Translation in Foreign Language Teaching and Learning: A Systematic Review.” Education and Information Technologies, vol. 28, no. 1, July 2022, pp. 663–82, https://doi.org/10.1007/s10639-022-11194-2.