| Project/Area Number |
23K00597
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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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| Review Section |
Basic Section 02080:English linguistics-related
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| Research Institution | Kyoto Sangyo University |
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Principal Investigator |
ブルックス ギャビン 京都産業大学, 外国語学部, 講師 (10610818)
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| Co-Investigator(Kenkyū-buntansha) |
Jordan Jennifer 関西学院大学, 総合政策学部, 講師 (00469264)
Higginbotham George 叡啓大学, ソーシャルシステムデザイン学部, 准教授 (20885090)
CLENTON JONATHAN 広島大学, 人間社会科学研究科(総), 准教授 (80762434)
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| Project Period (FY) |
2023-04-01 – 2026-03-31
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| Project Status |
Granted (Fiscal Year 2023)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2025: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2024: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2023: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | Lexical Diversity / Multi-word Expressions / NLP / Corpus Linguistics |
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| Outline of Research at the Start |
This project attempts to address the gap that exists with the accuracy of part-of-speech taggers that have been trained and validated on L1 language corpora when they are used on learner corpora produced by L1 Japanese learners of English. In order to do this, we will create a tagged corpus that consists of written essays, transcribed discussions, and transcribed presentations from a cohort of L1 Japanese university students. This will be used to create a POS model that will then be tested on a similar corpus of texts. The newly created POS tagger will then be made available for public use.
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