Toward the Development of English Academic Writing Materials: The Creation and Application of a Research Paper-based Corpus in Six Academic Disciplines
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- Tajino, Akira
- Center for the Promotion of Excellence in Higher Education, Kyoto University
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- Terauchi, Hajime
- Faculty of Commerce, Takachiho University
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- Kanamaru, Toshiyuki
- Graduate School of Human and Environmental Studies, Kyoto University
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- Maswana, Sayako
- Doctoral Program, Graduate School of Human and Environmental Studies, Kyoto University
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- Yamada, Hiroshi
- Masters Program, Graduate School of Human and Environmental Studies, Kyoto University
Bibliographic Information
- Other Title
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- 英語学術論文執筆のための教材開発に向けて : 論文コーパスの構築と応用
- エイゴ ガクジュツ ロンブン シッピツ ノ タメノ キョウザイ カイハツ ニ ムケテ ロンブン コーパス ノ コウチク ト オウヨウ
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Abstract
This paper presents a genre analysis of English academic research papers and discusses exploratory proposals for the application of a research paper-based corpus to academic writing materials development. The paper first introduces the development of a 3.7 million-word research paper-based corpus in six academic disciplines: sociology, education, economics, medicine, pharmacology, and engineering. The paper then shows an example of academic word lists and discusses the results of a study that was conducted to analyze two subgenres.titles and introductions.of academic research papers. In the study, the titles were analyzed in terms of linguistic structure and vocabulary, and the introductions were analyzed by means of Swales's Create-A-Research-Space (CARS) model. The paper concludes with some pedagogical implications for English academic writing materials development.
Journal
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- Kyoto University Researches in Higher Education
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Kyoto University Researches in Higher Education 14 111-121, 2008-12-01
京都大学高等教育研究開発推進センター
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Details 詳細情報について
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- CRID
- 1050001201691700864
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- NII Article ID
- 110007006792
- 120001107740
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- NII Book ID
- AN10487452
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- ISSN
- 13414836
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- HANDLE
- 2433/70823
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- NDL BIB ID
- 10165465
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- Text Lang
- ja
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- Article Type
- departmental bulletin paper
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- Data Source
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- IRDB
- NDL
- CiNii Articles
- KAKEN