Corpora and Emerging Technology for ELT

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Wirote Aroonmanakun

Abstract

The use of corpora can contribute to language learning in both implicit and explicit ways. Corpora have been introduced in language teaching as another approach to teaching language. Data-driven learning views language learning as a kind of research process in which students are expected to discover the knowledge themselves. In Thailand, though corpora are not widely used in ELT, in many universities corpus-based research, such as move analysis on academic writing, experiments on the use of concordance and corpora in ELT, the creation of Thai learner English corpora, errors and performance analysis of Thai learners on prepositions and collocations is now active. The use of concordance and corpora is an example of how current technology can be applied to ELT. Other innovations, such as Blogs, Youtube, Facebook, Skype, and smart phones, have also been studied to explore their use in ELT. With the rapid growth of technology, language learning is no longer restricted to the same old learning environment. It is our duty as teachers to help strengthen students' linguistic
ability by seeking and adapting new innovations for language learning.

Keywords: Corpora, ELT, emerging technology

Article Details

How to Cite
Aroonmanakun, W. (2014). Corpora and Emerging Technology for ELT. Journal of Studies in the English Language, 6. Retrieved from https://so04.tci-thaijo.org/index.php/jsel/article/view/21857
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Vol. 6 (2011)
Section
Articles
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Author Biography

Wirote Aroonmanakun

Associate Professor Dr. Wirote Aroonmanakun chairs the department of Linguistics, Faculty of Arts, Chulalongkorn
University. His research interest is on corpus linguistics and computational linguistics. He is now taking a major part in the
Thai National Corpus development project. It is aimed to creating a large general Thai corpus which is comparable to the
British national Corpus. He is also creating other corpora, such as English-Thai parallel corpus, Thai Learner English
corpus. As for research on computational linguistics, he had developed basic tools for Thai language processing, such as
Thai syllable segmentation, Thai word segmentation, Thai romanization, Thai grapheme-to-phoneme. He is now working
on Thai named entity recognition and Thai compound noun extraction, which will be implemented as a part of tagger for
Thai National Corpus project.