Presentation 2015-01-30
Computational Model of Interactive Meaning Acquisition of Sentence-Final Particles
Yusuke HATTORI, Xia WU, Chie FUKADA, Motoyuki OZEKI, Natsuki OKA,
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Abstract(in English) Sentence-final particles serve an important role in spoken Japanese, because they express the speaker's mental attitudes toward a proposition and/or an interlocutor. In this paper, we report on a study in which a robot learns how to react to utterances that have a sentence-final particle(yo, ne, or ka) and gives appropriate responses based on rewards given by an interlocutor, and at the same time, learns the meaning of nouns. An experimental result showed that the robot learned the meaning of nouns correctly. The robot also learned to react correctly in response to yo. However, it depended on the speech of participants whether the robot learned to react correctly in response to ne and ka.
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Keyword(in English) language acquisition / sentence-final particle / human-robot interaction
Paper # HCS2014-81
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Committee HCS
Conference Date 2015/1/23(1days)
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Registration To Human Communication Science (HCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Computational Model of Interactive Meaning Acquisition of Sentence-Final Particles
Sub Title (in English)
Keyword(1) language acquisition
Keyword(2) sentence-final particle
Keyword(3) human-robot interaction
1st Author's Name Yusuke HATTORI
1st Author's Affiliation School of Science and Technology, Kyoto Institute of Technology()
2nd Author's Name Xia WU
2nd Author's Affiliation Graduate School of Science and Technology, Kyoto Institute of Technology
3rd Author's Name Chie FUKADA
3rd Author's Affiliation Graduate School of Science and Technology, Kyoto Institute of Technology
4th Author's Name Motoyuki OZEKI
4th Author's Affiliation Graduate School of Science and Technology, Kyoto Institute of Technology
5th Author's Name Natsuki OKA
5th Author's Affiliation Graduate School of Science and Technology, Kyoto Institute of Technology
Date 2015-01-30
Paper # HCS2014-81
Volume (vol) vol.114
Number (no) 440
Page pp.pp.-
#Pages 6
Date of Issue