1. ZHAW digitalcollection
  2. Angewandte Linguistik
  3. Publikationen
  4. Publikationen Angewandte Linguistik
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dc.contributor.authorKlimova, Blanka-
dc.contributor.authorPikhart, Marcel-
dc.contributor.authorDelorme Benites, Alice-
dc.contributor.authorLehr, Caroline-
dc.contributor.authorSanchez-Stockhammer, Christina-
dc.date.accessioned2022-07-08T12:00:52Z-
dc.date.available2022-07-08T12:00:52Z-
dc.date.issued2022-07-
dc.identifier.issn1360-2357de_CH
dc.identifier.issn1573-7608de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/25281-
dc.description.abstractNowadays, 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.de_CH
dc.language.isoende_CH
dc.publisherSpringerde_CH
dc.relation.ispartofEducation and Information Technologiesde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectNeural machine translationde_CH
dc.subjectForeign language educationde_CH
dc.subjectApplied Linguisticsde_CH
dc.subjectL2de_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.subject.ddc418.02: Translationswissenschaftde_CH
dc.titleNeural machine translation in foreign language teaching and learning: a systematic reviewde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementAngewandte Linguistikde_CH
zhaw.organisationalunitInstitut für Übersetzen und Dolmetschen (IUED)de_CH
dc.identifier.doi10.1007/s10639-022-11194-2de_CH
zhaw.funding.euNode_CH
zhaw.issue1de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end682de_CH
zhaw.pages.start663de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume28de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedMensch-Maschine-Kommunikationde_CH
zhaw.webfeedÜbersetzungswissenschaftde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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.


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