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The effect of editing techniques on machine translation-informed academic foreing language writing

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The effect of editing techniques on machine translation-informed academic foreing language writing

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Mirzaeian, VR. (2021). The effect of editing techniques on machine translation-informed academic foreing language writing. The EuroCALL Review. 29(2):33-43. https://doi.org/10.4995/eurocall.2021.12930

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/177838

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Título: The effect of editing techniques on machine translation-informed academic foreing language writing
Autor: Mirzaeian, Vahid Reza
Fecha difusión:
Resumen:
[EN] Although the field of machine translation has witnessed huge improvements in recent years, its potentials have not been fully exploited in other interdisciplinary areas such as foreign language teaching. The aim of ...[+]
Palabras clave: Editing , Machine translation , Data driven learning , Writing
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
The EuroCALL Review. (issn: 1695-2618 )
DOI: 10.4995/eurocall.2021.12930
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/eurocall.2021.12930
Tipo: Artículo

References

Acar, A., Geluso, J., and Shiki, T. (2011). How can search engines improve your writing? CALL-EJ, 12(1), 1−10. Retrieved from http://callej.org/journal/12-1/Acar_2011.pdf

Anderson, D. D. (1995). Machine translation as a tool in second language learning. CALICO Journal, 13(1), 68−97.

BNC Consortium. (2007). The British national corpus, version 3 (BNC XML Edition). Distributed by Oxford University Computing Services on behalf of the BNC Consortium. Retrieved from http://www.natcorp.ox.ac.uk/ [+]
Acar, A., Geluso, J., and Shiki, T. (2011). How can search engines improve your writing? CALL-EJ, 12(1), 1−10. Retrieved from http://callej.org/journal/12-1/Acar_2011.pdf

Anderson, D. D. (1995). Machine translation as a tool in second language learning. CALICO Journal, 13(1), 68−97.

BNC Consortium. (2007). The British national corpus, version 3 (BNC XML Edition). Distributed by Oxford University Computing Services on behalf of the BNC Consortium. Retrieved from http://www.natcorp.ox.ac.uk/

Boulton, A. (2010). Data‐driven learning: Taking the computer out of the equation. Language Learning, 60(3), 534−572. https://doi.org/10.1111/j.1467-9922.2010.00566.x

Bueno, J. L. (1992). Traducción automática mediante el ordenador (Automatic Translation Using a Computer). Retrieved from http://eric.ed.gov/?id=ED354715

Chambers, A., and O'Sullivan, Í. (2004). Corpus consultation and advanced learners' writing skills in French. ReCALL, 16(1), 158-172. https://doi.org/10.1017/S0958344004001211

Chapelle, C. A. (2003). English language learning and technology: Lectures on teaching and research in the age of information and communication. Amsterdam: John Benjamins. https://doi.org/10.1075/lllt.7

Chujo, K., Oghigian, K., and Akasegawa, S. (2015). A corpus and grammatical browsing system for remedial EFL learners. In A. Leńko-Szymańska and A. Boulton (Eds.), Multiple affordances of language corpora for data-driven learning (pp. 109-128). Amsterdam: John Benjamins. https://doi.org/10.1075/scl.69.06chu

Conroy, M. (2010). Internet tools for language learning: University students taking control of their writing. Australasian Journal of Educational Technology, 26(6), 861−882. https://doi.org/10.14742/ajet.1047

Crosthwaite, P. (2017) Retesting the limits of data-driven learning: feedback and error correction, Computer Assisted Language Learning, 30(6), 447−473. https://doi.org/10.1080/09588221.2017.1312462

Davies, M. (2008). The corpus of contemporary American English (COCA): 520 million words, 1990-present. Retrieved from http://corpus.byu.edu/coca/

Egbert, J. (2005). CALL essentials: Principles and practice in CALL classrooms. Alexandria, VA: TESOL Publications.

Eubanks, J., Yeh, H., and Tseng, H. (2018) Learning Chinese through a twenty-first century writing workshop with the integration of mobile technology in a language immersion elementary school, Computer Assisted Language Learning, 31(4), 346−366. https://doi.org/10.1080/09588221.2017.1399911

Flowerdew, L. (2015). Data-driven learning and language learning theories. In A. Leńko-Szymańska and A. Boulton (Eds.), Multiple affordances of language corpora for data-driven learning (pp. 15−36). Amsterdam: John Benjamins. https://doi.org/10.1075/scl.69.02flo

Franken, M. (2014). The nature and scope of student search strategies in using a web derived corpus for writing. Language Learning Journal, 42(1), 85−102. https://doi.org/10.1080/09571736.2012.678013

Garcia, I., and 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

Geiller, L. (2014). How EFL students can use Google to correct their 'untreatable' written errors. The EuroCALL Review, 22(2), 26−45. https://doi.org/10.4995/eurocall.2014.3633

Geluso, J. (2013). Phraseology and frequency of occurrence on the web: Native speakers' perceptions of Google-informed second language writing. Computer Assisted Language Learning, 26(2), 144−157. https://doi.org/10.1080/09588221.2011.639786

Granger, S., Hung, J., and Petch-Tyson, S. (Eds.). (2002). Computer learner corpora, second language acquisition, and foreign language teaching. Amsterdam: John Benjamins. https://doi.org/10.1075/lllt.6

Johns, T. (1991). Should you be persuaded: Two samples of data-driven learning materials. English Language Research Journal, 4, 1−16.

Kern, R. (2006). Perspectives on technology in learning and teaching languages. TESOL Quarterly, 40(1), 183−210. https://doi.org/10.2307/40264516

Kilgarriff, A., and Grefenstette, G. (2003). Introduction to the special issue on the web as corpus. Computational Linguistics, 29(3), 333−347. https://doi.org/10.1162/089120103322711569

Lewis, D. (1997) Machine translation in a modern languages curriculum. Computer Assisted Language Learning, 10(3), pp. 255−271. https://doi.org/10.1080/0958822970100305

Liu, D., and Jiang, P. (2009). Using a corpus-based lexicogrammatical approach to grammar instruction in EFL and ESL contexts. Modern Language Journal, 93(1), 61−78. https://doi.org/10.1111/j.1540-4781.2009.00828.x

Milton, J. (2006). Resource-rich web-based feedback: Helping learners become independent writers. In K. Hyland and F. Hyland (Eds.), Feedback in second language writing: Contexts and issues (pp. 123−137). Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9781139524742.009

Nesselhauf, N. (2005). Collocations in a learner corpus. Amsterdam: John Benjamins. https://doi.org/10.1075/scl.14

Nino, A. (2008). Evaluating the use of machine translation post-editing in the foreign language class. Computer Assisted Language Learning, 21(1), 29−49. https://doi.org/10.1080/09588220701865482

O'Neill, E. (2012). The effect of online translators on L2 writing in French (Unpublished doctoral dissertation). University of Illinois at Urbana-Champaign.

O'Sullivan, Í., and Chambers, A. (2006). Learners' writing skills in French: Corpus consultation and learner evaluation. Journal of Second Language Writing, 15(1), 49-68. https://doi.org/10.1016/j.jslw.2006.01.002

Park, K. (2010). Using a specialized corpus and Google custom search engine (CSE) for enhancing L2 teaching and learning. Retrieved from http://www.personal.psu.edu/xxl13/teaching/au10/588/park_2010.pdf

Plonsky, L., and Oswald, F. L. (2014). How big is 'big'? Interpreting effect sizes in L2 research. Language Learning, 64, 878-912. https://doi.org/10.1111/lang.12079

Reppen, R. (2010). Using corpora in the language classroom. Cambridge. UK: Cambridge University Press.

Richmond, I. M. (1994) Doing it backwards: Using translation software to teach target language grammaticality. Computer Assisted Language Learning, 7(1), pp. 65−78. https://doi.org/10.1080/0958822940070106

Shei, C. C. (2002) Teaching MT through pre-editing: Three case studies. Proceedings of the 6th EAMT Workshop on Teaching Machine Translation. Manchester, pp. 89−98.

Shei, C.-C. (2008). Discovering the hidden treasure on the Internet: Using Google to uncover the veil of phraseology? Computer Assisted Language Learning, 21(1), 67−85. https://doi.org/10.1080/09588220701865516

Smart, J. (2014). The role of guided induction in paper-based data-driven learning. ReCALL, 26(2), 184-201. https://doi.org/10.1017/S0958344014000081

Somers, H., Gaspari, F., and Nino, A. (2006). Detecting inappropriate use of free online machine-translation by language students − A special case of plagiarism detection. In 11th Annual Conference of the European Association for Machine Translation-Proceedings (pp. 41−48).

Todd, R. W. (2001). Induction from self-selected concordances and self-correction. System, 29, 91-102. https://doi.org/10.1016/S0346-251X(00)00047-6

Yang, Y. (2018). New language knowledge construction through indirect feedback in web-based collaborative writing, Computer Assisted Language Learning, 31(4), 459−480. https://doi.org/10.1080/09588221.2017.1414852

Yoon, C. (2016). Concordancers and dictionaries as problem-solving tools for ESL academic writing. Language Learning & Technology, 20(1), 209-229. Retrieved from http://llt.msu.edu/issues/february2016/yoon.pdf

Yoon, H., and Hirvela, A. (2004). ESL student attitudes toward corpus use in L2. Journal of Second Language Writing, 13(4), 257-283. https://doi.org/10.1016/j.jslw.2004.06.002

Yoon, H., and Jo, J. W. (2014). Direct and indirect access to corpora: An exploratory case study comparing students' error correction and learning strategy use in L2 writing. Language Learning & Technology, 18(1), 96-117. Retrieved from http://llt.msu.edu/issues/february2014/yoonjo.pdf

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