Automatically augmenting academic text for language learning: PhD abstract corpora with the British library

Wu, Shaoqun and Fitzgerald, Alannah and Witten, Ian and Yu, Alex (2018) Automatically augmenting academic text for language learning: PhD abstract corpora with the British library. In: Handbook of Research on Integrating Technology Into Contemporary Language Learning and Teaching. IGI-Global, pp. 512-537. ISBN 9781522551409

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Abstract or Summary

This chapter describes the automated FLAX language system (flax.nzdl.org) that extracts salient linguistic features from academic text and presents them in an interface designed for L2 students who are learning academic writing. Typical lexico-grammatical features of any word or phrase, collocations, and lexical bundles are automatically identified and extracted in a corpus; learners can explore them by searching and browsing, and inspect them along with contextual information. This chapter uses a single running example, the PhD abstracts corpus of 9.8 million words derived from the open access Electronic Theses Online Service (EThOS) at the British Library, but the approach is fully automated and can be applied to any collection of English writing. Implications for reusing open access publications for non-commercial educational and research purposes are presented for discussion. Design considerations for developing teaching and learning applications that focus on the rhetorical and lexico-grammatical patterns found in the abstract genre are also discussed.

Item Type:Book Section
Keywords that describe the item:augmenting, academic text, language learning
Subjects:L Education > LC Special aspects of education > LC5201 Education extension. Adult education. Continuing education
Q Science > QA Mathematics > QA76 Computer software
Divisions:Schools > Centre for Business, Information Technology and Enterprise > School of Information Technology
ID Code:5970
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Deposited On:30 Apr 2018 01:43
Last Modified:18 Dec 2018 07:29

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