Developing a Multimodal Corpus of L2 Academic English from an English Medium Instruction University in China

Yu-Hua Chen, Simon Harrison, Michael Paul Stevens, Qianqian Zhou

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Abstract

This paper describes the rationale for and design of a new multimodal corpus of L2 academic English from a Sino-British university in China: the Corpus of Chinese Academic Written and Spoken English (cawse). The unique context for this corpus provides language samples from Chinese students who use English as a second language (L2) in a preliminary-year programme, which prepares students for academic studies at university level, at a campus where English is used as the Medium of Instruction (emi). Data were collected from a variety of settings, including written (i.e., exam scripts and essays) and spoken assessments (i.e., interviews and presentations), covering the full range of grades awarded to those language samples, as well as from student group interactions during teaching and learning activities. The multimodal nature of the corpus is realised through the availability of selected audio/video recordings accompanied by the orthographically transcribed text. This open-access corpus is designed to help shed light on Chinese students' academic L2 English language use in a variety of written, spoken and multimodal discourses.
Original languageEnglish
Pages (from-to)1-15
Number of pages15
JournalCorpora
Volume19
Issue number1
DOIs
Publication statusPublished - 1 Apr 2024

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Funder

This project was supported by the Ningbo 3315 Overseas Individual Talent Award to Dr YuHua Chen and the University Matched Funding. The work described in this paper was also
partially supported by City University of Hong Kong and a grant from the Research Grants
Council of the Hong Kong Special Administrative Region, China (Project No. CityU
11609221).

Keywords

  • English Medium Instruction (emi)
  • English for Academic Purposes (eap)
  • corpus construction
  • corpus design

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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