2023 Fiscal Year Final Research Report
"Tasks" in Conversation Using Everyday Conversation Corpus: from the Quantitive/Qualitative Point of View
| Project/Area Number |
20K13019
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 02060:Linguistics-related
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| Research Institution | Shizuoka Institute of Science and Technology (2023)
National Institute for Japanese Language and Linguistics (2020-2022) |
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Principal Investigator |
Usuda Yasuyuki 静岡理工科大学, 情報学部, 講師 (80780501)
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| Project Period (FY) |
2020-04-01 – 2024-03-31
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| Keywords | 会話 / 相互行為 / 会話コーパス / 課題 / 言語 |
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| Outline of Final Research Achievements |
In this study, we analyze conversations from the perspective of what "issues" the participants are dealing with in their conversations. However, since the speaker's intentions cannot be specified, research on conversation and speech based on intentions has remained conceptual. In this study, on the other hand, empirical research can be conducted by focusing on "coping with issues" that can be observed on conversational data. The use of a corpus enables not only conventional qualitative research, but also quantitative research.
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| Free Research Field |
会話分析
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| Academic Significance and Societal Importance of the Research Achievements |
本研究の独自性は，日常会話を課題への対処という観点で分析するという点にある．これまで会話における課題という観点は，明示的な目的のもとになされる制度的会話の研究に限られていた．この観点を日常会話に適用するという点は本研究独自の視点である．
本研究の創造的な点は，学術的な関心を満たすとともに，工学的応用のための基礎を提供できる点である．近年，スマートスピーカーや介護ロボットなどへの社会的関心の高まりに合わせて，工学的応用の基礎段階としての日常会話の構造的理解の方法が求められているといえる．本研究はそのような基礎的知見を提供できる．
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