- Published
- 2022-07-05
- Venue
- Education and Information Technologies, vol. 28, no. 1, pp. 663-682
- Cited by
- 233
- Open access
- Yes, green
- DOI
- 10.1007/s10639-022-11194-2
Cite this paper
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- APA 7
Klímová, B., Pikhart, M., Benites, A. D., 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
- MLA 9
Klímová, Blanka, et al. "Neural machine translation in foreign language teaching and learning: a systematic review." Education and Information Technologies, vol. 28, no. 1, 2022, pp. 663–682, https://doi.org/10.1007/s10639-022-11194-2.
- Chicago
Klímová, Blanka, Marcel Pikhart, Alice Delorme Benites, Caroline Lehr, and Christina Sanchez‐Stockhammer. "Neural machine translation in foreign language teaching and learning: a systematic review." Education and Information Technologies 28, no. 1 (2022): 663–682. https://doi.org/10.1007/s10639-022-11194-2.
- GOST
Klímová B., Pikhart M., Benites A. D. [и др.] Neural machine translation in foreign language teaching and learning: a systematic review // Education and Information Technologies. — 2022. — Vol. 28, № 1. — P. 663–682. — URL: https://doi.org/10.1007/s10639-022-11194-2
- BibTeX
@article{klimova2022neural, title = {{Neural machine translation in foreign language teaching and learning: a systematic review}}, author = {Blanka Klímová and Marcel Pikhart and Alice Delorme Benites and Caroline Lehr and Christina Sanchez‐Stockhammer}, journal = {Education and Information Technologies}, year = {2022}, volume = {28}, number = {1}, pages = {663--682}, doi = {10.1007/s10639-022-11194-2}, url = {https://doi.org/10.1007/s10639-022-11194-2} }- RIS
TY - JOUR AU - Klímová, Blanka AU - Pikhart, Marcel AU - Benites, Alice Delorme AU - Lehr, Caroline AU - Sanchez‐Stockhammer, Christina TI - Neural machine translation in foreign language teaching and learning: a systematic review JO - Education and Information Technologies VL - 28 IS - 1 SP - 663 EP - 682 PY - 2022 DA - 2022/07/05 DO - 10.1007/s10639-022-11194-2 UR - https://doi.org/10.1007/s10639-022-11194-2 ER -