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Two Different Types of Corpora: Japanese Students’ Perceptions

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Knowledge Sharing through Technology (ICT 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 407))

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Abstract

The recent interest in utilizing a large collection of authentic electronic language resources, called a corpus, has increased in tertiary institutions to facilitate student language learning. The examination of a corpus has made it possible for students to analyze multiple language examples and the patterns of co-occurred words. This approach, referred to as ‘data-driven learning’, assists students in becoming more aware of language use and patterns of various forms. This paper outlines the research conducted for the purpose of examining how Japanese students perceive the efficacy of exploring different types of corpora: one corpus familiar to students, and the other, the Brown Corpus which was unfamiliar to students. Specifically, the focus was on examining the relationships between the students’ proficiency levels and their perceptions of using different types of corpora.

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Author information

Authors and Affiliations

  1. Hokkai-Gakuen University, 1-40, 4-chome, Asahi-machi, Toyohira-ku, Sapporo, 0628605, Japan

    Yoko Hirata & Yoshihiro Hirata

  2. The University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom

    Paul Thompson

Authors
  1. Yoko Hirata
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  2. Yoshihiro Hirata
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  3. Paul Thompson
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Editor information

Editors and Affiliations

  1. HKU School of Professional and Continuing Education, Hong Kong, China

    Jeanne Lam

  2. The Open University of Hong Kong, Hong Kong, China

    Kam Cheong Li  & Simon K. S. Cheung  & 

  3. Caritas Institute of Higher Education, Hong Kong, China

    Fu Lee Wang

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© 2013 Springer-Verlag Berlin Heidelberg

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Hirata, Y., Hirata, Y., Thompson, P. (2013). Two Different Types of Corpora: Japanese Students’ Perceptions. In: Lam, J., Li, K.C., Cheung, S.K.S., Wang, F.L. (eds) Knowledge Sharing through Technology. ICT 2013. Communications in Computer and Information Science, vol 407. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45272-7_1

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  • DOI: https://doi.org/10.1007/978-3-642-45272-7_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45271-0

  • Online ISBN: 978-3-642-45272-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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