1.3 References for Machine Translation
Emily Hellmich and Kimberly Vinall
References
Bowker, L., & Buitrago Ciro, J. (2019). Machine translation and global research: Towards improved machine translation literacy in the scholarly community. Emerald Publishing.
Briggs, N. (2018). Neural machine translation tools in the language learning classroom: Students’ use, perceptions, and analyses. JALT CALL Journal, 14(1), 3–24. https://doi.org/10.29140/jaltcall.v14n1.221
Bourdais, A., & Guichon, N. (2020). Représentations et usages du traducteur en ligne par les lycéens. Alsic, 23(1). https://doi.org/10.4000/alsic.4533
Carré, A., Kenny, D., Rossi, C., Sánchez-Gijón, P., & Torres-Hostench, O. (2022). Machine translation for language learners. In D. Kenny (Ed.), Machine translation for everyone: Empowering users in the age of artificial intelligence (pp. 187-207). Language Science Press.
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Chung, E. S. (2020). The effect of L2 proficiency on post-editing machine translated texts. Journal of Asia TEFL, 17 (1), 182-193. https://doi.org/10.18823/asiatefl.2020.17.1.11.182
Chung, E.S., & Ahn, S. (2021). The effect of using machine translation on linguistic features in L2 writing across proficiency levels and text genres. Computer Assisted Language Learning, 1-26. https://doi.org/10.1080/09588221.2020.1871029
Clifford, J., Merschel, L., & Munné, J. (2013). Surveying the landscape: What is the role of machine translation in language learning? @Tic. Revista D’Innovació Educativa, 10, 108–121.
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Correa, M. (2011). Academic dishonesty in the second language classroom: Instructors ’ perspectives. Modern Journal of Language Teaching Methods, 1(1), 65–80.
Delorme Benites, A., Cotelli Kureth, S., Lehr, C., & Steele, E. (2021). Machine translation literacy: a panorama of practices at Swiss universities and implications for language teaching. In N. Zoghlami, C. Brudermann, C. Sarré, M. Grosbois, L. Bradley, & S. Thouësny, CALL and professionalization: Short papers from EUROCALL 2021 (pp. 80-87). Research-publishing.net. https://doi.org/10.14705/rpnet.2021.54.1313
Deifell, E. D. (2018). Dynamic intertextuality and emergent second language microdevelopment in digital space. [Doctoral dissertation, University of Iowa]. Proquest.
Ducar, C., & Schocket, D. H. (2018). Machine translation and the L2 classroom: Pedagogical solutions for making peace with Google Translate. Foreign Language Annals, 51(4), 779–795. https://doi.org/10.1111/flan.12366
Fredholm, K. (2019). Effects of Google translate on lexical diversity: Vocabulary development among learners of Spanish as a foreign language. Revista Nebrija de Lingüística Aplicada a la Enseñanza de las Lenguas, 13 (26), 98-117.
Garcia, I., & Pena, M. I. (2011). Machine translation-assisted language learning: Writing for beginners. Computer Assisted Language Learning, 24(5), 471–487. https://doi.org/10.1080/09588221.2011.582687
Hardach, S. (2021, March). The languages that defy auto-translate. Machine Minds, BBC. https://www.bbc.com/future/article/20210322-the-languages-that-defy-auto-translate
Hellmich, E.A. (2021). Machine translation in foreign language writing: Student use to guide pedagogical practice. Alsic, 24 (1). https://doi.org/10.4000/alsic.5705
Hellmich, E.A., & Vinall, K. (forthcoming). Machine translation and generative AI in language education. In H. Nesi & P. Milin (Eds.), International encyclopedia of language and linguistics (3rd Edition). Elsevier.
Hellmich, E. A., & Vinall, K. (2021). FL instructor beliefs about machine translation: Ecological insights to guide research and practice. International Journal of Computer-Assisted Language Learning & Teaching, 11(4), 1-18. https://doi.org/10.4018/ijcallt.2021100101
Hellmich, E. A., & Vinall, K. (2023). Student use and instructor beliefs: Machine translation in language education. Language Learning & Technology, 27(1), 1–27. https://hdl.handle.net/10125/73525
Hilleary, C. (2021). Google explains why app can’t translate most native American languages. https://www.voanews.com/usa/google-explains-why-app-cant-translate-most-native-american-languages
Jin, L., & Deifell, E. (2013). Foreign language learners’ use and perception of online dictionaries: A survey study. MERLOT Journal of Online Learning and Teaching, 9(4), 515–533.
Jolley, J. & Maimone, L. (2015). Free online machine translation: Use and perceptions by Spanish students and instructors. In A. J. Moeller (Ed.), Learn Languages, Explore Cultures, Transform Lives (pp. 181-200). Central States Conference on the Teaching of Foreign Languages.
Kelleher, J. D. (2019). Deep learning. MIT Press.
Kenny, D. (2022). Human and machine translation. In D. Kenny (Ed.), Machine translation for everyone: Empowering users in the age of artificial intelligence (pp. 23-49). Berlin: Language Science Press.
Klaudy, K. (2003). Languages in translation. Scholastica.
Klekovkina, V., & Denié-Higney, L. (2022). Machine Translation: Friend or foe in the language classroom? L2 Journal, 14(1),105-135. http://dx.doi.org/10.5070/L214151723
Koehn, P. (2005). Europarl: A parallel corpus for statistical machine translation. In Proceedings of Machine Translation Summit X, p. 79-86. https://aclanthology.org/2005.mtsummit-papers.11.
Kol, S., Schcolnik, M. & Specter-Cohen, E. (2018). Google translate in academic writing courses? The EuroCALL Review, 26 (2), 50-57. https://doi.org/10.4995/eurocall.2018.10140
Larson-Guenette, J. (2013). “It’s just reflex now”: German language learners’ use of online resources. Die Unterrichtspraxis/Teaching German, 46(1), 62–74. https://doi.org/10.1111/tger.10129
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Lee, S. M. (2022). Different effects of machine translation on L2 revisions across students’ L2 writing proficiency levels. Language Learning & Technology, 26(1), 1–21. https://hdl.handle.net/10125/73490
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Niño, A. (2008). Evaluating the use of machine translation post-editing in the foreign language classroom. Computer Assisted Language Learning, 21 (1), 29-49. https://doi.org/10.1080/09588220701865482
Niño, A. (2009). Machine translation in foreign language learning: Language learners’ and tutors’ perceptions of its advantages and disadvantages. ReCALL, 21(2), 241–258. https://doi.org/10.1017/S0958344009000172
O’Brien, S. (2003). Controlling controlled English. An analysis of several controlled language rule sets. In Controlled language translation. Dublin City University. 15-17 May 2003. EAMT/CLAW. https://aclanthology.org/2003.eamt-1.12.pdf.
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Pérez-Ortiz, J. A., Forcada, M. L., Sánchez-Martínez, F. (2022). How neural machine translation works. In D. Kenny (Ed.), Machine translation for everyone: Empowering users in the age of artificial intelligence (pp. 141-164). Language Science Press.
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Stapleton, P., & Kin, B. L. K. (2019). Assessing the accuracy and teachers’ impressions of Google Translate: A study of primary L2 writers in Hong Kong. English for Specific Purposes, 56, 18–34. https://doi.org/10.1016/j.esp.2019.07.001
Taj, M. (2022). ‘Allinllachu.’ Google Translate adds Quechua to its platform. The New York Times.
Thue Vold, E. (2018). Using machine-translated texts to generate L3 learners’ metalinguistic talk. In Å. Haukås, C. Bjørke & M. Dypedahl (Eds.), Metacognition in language learning and teaching (67–97). Routledge.
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Tsai, S. (2019). Using Google Translate in EFL drafts: A preliminary investigation. Computer Assisted Language Learning, 32(5–6), 510–526. https://doi.org/10.1080/09588221.2018.1527361
Vanmassenhove, E., Shterionov, D., & Way, A. (2019). Lost in translation: Loss and decay of linguistic richness in machine translation. In Proceedings of machine translations summit XVII: Research Track. EAMT, 222-232.
Vinall, K., & Hellmich, E. A. (2021). Down the rabbit hole: Machine translation, metaphor, and instructor identity and agency. Second Language Research & Practice, 2(1), 99–118.
Vinall, K., & Hellmich, E.A. (2022). Do you speak translate?: Reflections on the nature and role of translation. L2 Journal, 14(1), 4-25. https://doi.org/10.5070/l214156150
Vinall, K., Wen, W., & Hellmich, E. A. (2023). Investigating L2 writers’ uses of machine translation and other online tools. Foreign Language Annals, 1–28. https://doi.org/10.1111/flan.12733
White, K. D., & Heidrich, E. (2013). Our policies, their text: German language students’ strategies with and beliefs about web-based machine translation. Die Unterrichtspraxis/Teaching German, 46(2), 230–250. https://doi.org/10.1111/tger.10143
Wu, Y., Schuster, M., Chen, Z., Le, Q. V., Norouzi, M., Macherey, W., Krikun, M., Cao, Y., Gao, Q., Macherey, K., Klingner, J., Shah, A., Johnson, M., Liu, X., Kaiser, Ł., Gouws, S., Kato, Y., Kudo, T., Kazawa, H., … Dean, J. (2016). Google’s neural machine translation system: Bridging the gap between human and machine translation. https://arxiv.org/abs/1609.08144
Zhu, X. (2020). Machine translation in foreign language learning classroom-learners’ indiscriminate use or instructor’s discriminate stance. English Linguistics Research, 9 (4), 1-5. https://doi.org/10.5430/elr.v9n4p1