| Project/Area Number |
26370619
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Japanese language education
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| Research Institution | Tokoha University |
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Principal Investigator |
TANI Seiji 常葉大学, 外国語学部, 准教授 (80514827)
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| Co-Investigator(Kenkyū-buntansha) |
宮崎 佳典 静岡大学, 情報学部, 教授 (00308701)
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| Research Collaborator |
JUNG GiYoung 釜山外国語大学, 教授
AN JiYoung 大邱大学, 教授
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| Project Period (FY) |
2014-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | CEFR / 読解尺度 / Can-do statements / 機械学習 / 基準特性 / 日本語教育 / 韓国人日本語学習者 / 自動抽出 / 読解 / Can do statements / 読解能力尺度 |
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| Outline of Final Research Achievements |
This study proposed to 1) collect Japanese documents based on the CEFR Reading Comprehension Index, and identify textual features to determine CEFR levels, 2) re-analyze previously collected survey data that used the CEFR Reading Comprehension Index for Korean learners of Japanese and Korean teachers of Japanese. We examined methods to automatically classify Japanese documents according to the CEFR Reading Comprehension Index by tagging features of Japanese text through machine learning techniques. In addition, we examined the ordering and comprehensibility of the CEFR Reading Comprehension Index.
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