Communications in Humanities Research ISSN: 2753-7072
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Research Article

Exploring Pedagogical Approach in EFL Courses Based on Bilingual Parallel Corpus

Haozhi SunUniversity of International College, Macao University of Science and Technology, 999078, Macau SAR, China* Jianzhe QinDepartment of foreign language, Guangdong University of Technology, Guangzhou, 510006, China Yashi LiForeign Language College, Minnan University of Science and Technology, Quanzhou, 362700, China

* Corresponding author: [email protected]

Abstract

This paper is to examine the feasibility of bilingual parallel corpus as a data-driven approach targeting to comprehensively enhance English competence of EFL (English as a foreign language) learners. In particular, corpus turns out to be functional of assisting EFL learners in acquiring high-frequency words and the collocation and colligation, indicating that corpus can be considered to be optional in pedagogy, as well. Bilingual parallel corpus, more importantly, provides learners with an ideal tool to focus on the translation techniques based on the function of comparing the same words or similar conceptions in corpora of two languages, providing authentic texts to expound translation theories, terminologies and techniques. In addition, corpus implies the use of improving learners’ comprehension of original texts, further the reading proficiency. It also helps to extend the scope of reading based on the large quantity of authentic materials.

Keywords: Corpus Linguistics; Data-driven learning; Translation and language teaching; EFL; Vocabulary Teaching; Reading with Corpus
Published: May 17, 2023
DOI: 10.54254/2753-7064/3/20220638
Volume: CHR Vol.3
pp. 770-780
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References

  1. He. & Peng. (2011). A Survey of English Corpus Studies: Retrospect, Status Quo and Prospect. Foreign Language Education (01), 6-10+15. doi:10.16362/j.cnki.cn 61-1023/h.2011.01.017.
  2. Johns, T. (1991). Should you be persuaded: Two samples of data-driven learning materials (Vol. 4, pp. 1-16).
  3. Gilquin, G., & Granger, S. (2010). How can data-driven learning be used in language teaching. The Routledge handbook of corpus linguistics, 359370.
  4. Wang, K. (2004). The use of parallel corpora in translator training. Computer-assisted Foreign Language Education, 6, 27-32.
  5. Wang, K., & Qin, H. (2015). The use of parallel corpora in the teaching of translation. Foreign Language Teaching and Research, 47(5), 763-772.
  6. Braun, S. (2005). From pedagogically relevant corpora to authentic language learning contents. ReCALL, 17(1), 47-64
  7. McEnery, T., & Hardie, A. (2011). Corpus linguistics: Method, theory and practice. Cambridge University Press.
  8. Xu, Xiu., & Xu, J. (2021). The construction of Yiyan English-Chinese Parallel Corpus, [J]. Corpus Linguistics, This resource can be found in http://corpus.bfsu.edu.cn/info/1082/1693.htm.
  9. Liu, K. (2020). Corpus-Assisted Translation Teaching. Springer Singapore.
  10. Zanettin, F. (2009). Corpus-based translation activities for language learners. The Interpreter and Translator Trainer, 3(2), 209-224.
  11. Breyer, Y. (2006) “My Concordancer: tailor-made software for language teachers and learners,” in S. Braun, K. Kohn and J. Mukherjee (eds) Corpus Technology and Language Pedagogy, Frankfurt am Main: Peter Lang, pp. 157-76.
  12. Jaefarpour, A.A & Koosha, M. (2006). Data-Driven Learning and Teaching Collocation of Preposition. Research on Foreign Language. Journal of Faculty of Letters and Humanity, 49, 200.
  13. Okamoto, M. (2015). Is corpus word frequency a good yardstick for selecting words to teach? Threshold levels for vocabulary selection. System, 51, 1-10.
  14. Leech, G. (2001). The role of frequency in ELT: New corpus evidence brings a re-appraisal. Foreign Language Teaching and Research, 33(5), 328-339.
  15. Chen Xiuchun, (2022). Corpus-based Approach to College English Vocabulary Teaching (07), 68-72.
  16. Shahzadi, A., Asghar, A., & Javed, S. (2019). Effectiveness of corpus in teaching English synonyms. Corporum: Journal of Corpus Linguistics-CJCL, 2(1), 51-65.
  17. Liu. Ping, (2016). Data-Driven ESP Vocabulary Learning, 219-225.
  18. Bahns, J., and Eldaw, M. (1993). Should we teach EFL students collocations? System, 21, 101-114.
  19. Faghih, E. and Sharafi, M. (2006). The Impact of Collocation on Iranian EFL learners Interlanguage. Science and Research Quarterly, 16, 58.
  20. Hill, J. (1999). Collocational competence. English Teaching Professional, 11, 3-7.
  21. Flowerdew, L. (1999). A corpus based-analysis of referential and pragmatic errors in students’ writing. Hong Kong University of Science and Technology.
  22. Mukherjee, J. (2006) “Corpus linguistics and language pedagogy: the state of the art – and beyond,” in S. Braun, K. Kohn and J. Mukherjee (eds) Corpus Technology and Language Pedagogy, Frankfurt am Main: Peter Lang, pp. 5-24
  23. Zarei, A. (2002). Patterns of Iranian advanced learners’ problems with English collocations. Unpublished doctoral dissertation, University of Isfahan, Iran.
  24. Stubbs, M. (1995). Collocations and semantic profiles: On the cause of the trouble with quantitative studies. Functions of language, 2(1), 23-55.
  25. Sinclair, J. (1991). Corpus, concordance, collocation. Oxford, UK: Oxford University Press.
  26. Molina, L., & Hurtado Albir, A. (2002). Translation techniques revisited: A dynamic and functionalist approach. Meta: Journal des Traducteurs/Meta: Translators' Journal, 47(4), 498-512.
  27. Yang, W. (2010). Brief study on domestication and foreignization in translation. Journal of Language Teaching and Research, 1(1), 77-80.
  28. Huang. (2020).Influence of Back Translation on College English Translation Teaching. Journal of Longdong University (03),125-128.
  29. Xu, M., & He, A. (2016). Corpus Technology for Teaching English as a Foreign Language in Depth Reading - Kns.cnki.net.
  30. Wang, Z., & Xia, H. (2022). The application of corpus data-driven model in English reading teaching - Kns.cnki.net.
  31. O’Keeffe, A., & Mark, G. (2022). TEMPORARY REMOVAL: Principled pattern curation to guide data-driven learning design. Applied Corpus Linguistics, 100028.
  32. Li, Y. (2021). On the Application of Corpus Data-driven Learning Model in College English Vocabulary Teaching. Kns.cnki.net.
  33. Richards, J. C., & Schmidt, R. (2010). Longman dictionary of language teaching and applied linguistics. Longman.
  34. Day, R., & Bamford, J. (2002). Top Ten Principles for Teaching Extensive Reading.
  35. Zhou, J. (2018). Design of Junior High School English Teaching based on Jigsaw Reading Model. Kns.cnki.net.
  36. Wang, A. (2018). The practice of Jigsaw model in “Advanced English” teaching. Kns.cnki.net.
  37. Esnawy, S. (2016). EFL/EAP Reading and Research Essay Writing Using Jigsaw. Procedia - Social and Behavioral Sciences, 232, 98–101.