神戸大学附属図書館デジタルアーカイブ
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https://hdl.handle.net/20.500.14094/0100492585
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30
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2025-05-15
13:41 集計
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0100492585 (fulltext)
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メタデータID
0100492585
アクセス権
open access
出版タイプ
Accepted Manuscript
タイトル
Interpretations of Sense-Based Minimizers in Japanese and English: Direct and Indirect Sense-Based Measurements
著者
著者ID
A2609
研究者ID
1000040598083
KUID
https://kuid-rm-web.ofc.kobe-u.ac.jp/search/detail.html?systemId=89cc91d26bcad9c7520e17560c007669
著者名
Sawada, Osamu
澤田, 治
サワダ, オサム
所属機関名
人文学研究科
言語
English (英語)
収録物名
New Frontiers in Artificial Intelligence
ページ
145-160
出版者
Springer
刊行日
2023-07-19
公開日
2024-12-18
抄録
The Japanese degree adverb kasukani can be combined with a sense-related gradable predicate, such as amai ‘sweet’ or kaoru ‘smell’, but it cannot usually co-occur with an emotive predicate, such as odoroi-teiru ‘surprised’. However, if there is a sense-related expression that is structurally placed at a higher position, kasukani can combine with an emotive predicate. Building on the idea of Sawada (2021), I will first show that kasukani is mixed content (McCready 2010; Gutzmann 2011) in that it not only denotes a low scalar meaning in the at-issue component, but also implies that the judge (typically the speaker) has measured its degree based on their own senses (e.g., vision, smell, taste, or hearing) at the level of conventional implicature (CI)(e.g., Grice 1975; Potts 2005). I will then argue that the projective property of the CI meaning of kasukani allows kasukani to be used to measure the degree of emotion through a sense-based expression, such as mie-ru ‘look’. I will also compare kasukani to English faintly, which can be used to measure the degree of emotion directly or measure the degree of emotion indirectly via a sense-based expression and explain the differences between the two by positing different CI components. This study demonstrates that the multidimensional approach to meaning can successfully explain the concord relationship between a sense-based minimizer and sense-related expression.
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人文学研究科
会議発表論文
権利
© 2023 Springer Nature Switzerland AG
関連情報
DOI
https://doi.org/10.1007/978-3-031-36190-6_10
ISBN
978-3-031-36189-0
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ISBN
978-3-031-36190-6
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資源タイプ
conference paper
会議記述
会議名
JSAI-isAI 2021 Workshops, JURISIN, LENLS18, SCIDOCA, Kansei-AI, AI-BIZ
開催期間
November 13–15, 2021
開催会場
Yokohama, Japan
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