Corpus linguistics for the acquisition of English lexicon
DOI:
https://doi.org/10.36505/ExLing-2024/15/0017/000642Keywords:
CAE, corpus linguistics, English, learning, lexiconAbstract
This work is a continuation of the research made by Luna & Aguilar (2022), and Aguilar & Luna (2023), focused on analysing what impact the use of linguistic corpora has on the teaching of English, specifically on students who have not had any previous approach to corpus linguistics. Our theoretical framework is in line with the proposals made by Granger (1998, 2004) regarding the use of corpora for learning English, as well as that of Boulton (2009, 2010) on language learning based on data recognition, via the use of digital corpora. Likewise, studies carried out by Moon (2010), Szudarski (2018) or Friginal (2018) regarding the employ of corpus for vocabulary acquisition can also be mentioned here. What we present here is a quasi-experimental study, applied to a population of 36 participants, divided into two groups: one will be the intervention group and the other will be the control group. The results of this study might allow us to observe and understand the impact that teaching techniques and resources from corpus linguistics has on the acquisition of advanced vocabulary in English as well as the differences between the skills that English learners have to increase their lexicon, whether or not they are able to use computer tools such as electronic corpora. And, to recognise if the design of a course model for learning advanced English -which can be an important support for successfully passing a certification exam such as the CAE.
References
Aguilar, C., Luna, F. 2023. Today is another day to find you: Using Corpus Linguistics For Language Learning. In Gómez, L.; González, Ch., Lees, J. (eds.), ICERI2023 Proceedings 16th International Conference of Education, Research and Innovation, IATED Academy, Valencia, Spain: 8042-8050.
Boulton, A. 2009. Data-driven learning: reasonable fears and rational reassurance. Indian Journal of Applied Linguistics, 35(1): 81-106.
Boulton, A. 2010. Data-Driven Learning: taking the computer out if the equation. Language Learning, 60(3): 534-572. Friginal, E. (2018): Corpus Linguistics for English Teachers, London, Routledge. Granger, S. (1998): Learner English on Computer, London, UK, Longman.
Granger, S. 2004. Computer learner corpus research: Current status and future prospects. In Connor U., Upton, T. (eds.), Applied Corpus Linguistics: a Multidimensional Perspective. Brill, Amsterdam: 123-145.
Luna, F., Aguilar, C. 2022. Corpus linguistic tools and terminology translation tasks. In Botinis, A. (ed.), Proceedings of 13 th International Conference of Experimental Linguistics, International Society of Experimental Linguistics, Paris, France: 121-124.
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Articles are published under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
