Development and application of an advanced corpus with syntactic and semantic information
Project/Area Number |
16K02654
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Linguistics
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Research Institution | Tohoku University |
Principal Investigator |
Yoshimoto Kei 東北大学, 高度教養教育・学生支援機構, 教授 (50282017)
|
Co-Investigator(Kenkyū-buntansha) |
森 芳樹 東京大学, 大学院総合文化研究科, 教授 (30306831)
小林 昌博 鳥取大学, 教育支援・国際交流推進機構, 准教授 (50361150)
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Research Collaborator |
Butler Alastair J.
|
Project Period (FY) |
2016-04-01 – 2019-03-31
|
Project Status |
Completed (Fiscal Year 2018)
|
Budget Amount *help |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2018: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2017: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
|
Keywords | コーパス / 日本語 / 統語論 / 意味論 |
Outline of Final Research Achievements |
We have solved two problems in the development of a modern Japanese corpus with syntactic and semantic annotations, NINJAL Parsed Corpus of Modern Japanese. First, we have improved its morphological analysis by adopting a morphological tagging system for the study of first language acquisition data. This has also paved a way for building up a treebank from Japanese speaking children's data. Second, we have developed a resonable method to give semantic roles as part of our annotations. This will also have an essential influence on the study of natural language processing and artficial intelligence.
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Academic Significance and Societal Importance of the Research Achievements |
日本語に関してこれまでに利用できなかった、句構造解析にもとづくコーパス NINJAL Parsed Corpus of Modern Japanese を開発することの意義は大きいが、本研究における形態素解析の改善により、それがさらに利用しやすくなった。また、幼児言語発達データのツリーバンク化は、これまでほぼ未開拓であった大量データにもとづく統語・意味能力発達の研究に道を開く。さらに、意味格情報のアノテーションは日本語の意味論的研究の強力なツールとなるだけでなく、言語処理や AI 研究へのインパクトも大きい。
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Report
(4 results)
Research Products
(13 results)