人工知能学会第二種研究会資料
Online ISSN : 2436-5556
予測的認知を用いた非自然言語による言語的コミュニケーション
清丸 寛一大澤 正彦今井 倫太
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研究報告書・技術報告書 フリー

2017 年 2017 巻 AGI-006 号 p. 03-

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We communicate naturally by predictively recognizing utterance based on situation, context, and knowledges. We think that predictive recognition makes robots without ability to speak natural language possible to do linguistic communication. In this paper, we focus on Shiritori, a word game, as a simple linguistic communication to verify the hypothesis. Shiritori restricts players' utterance because of the rules, and also has several typical reply patterns. Therefore, we can easily predict partner's utterances compared with normal conversations. In order to reply predictable words, we construct kindergartener-level vocabulary. Furthermore, we make audio data with the cooperation of voice actors for the rich expression of the words. Experimental result implied that we can play Shiritori even if a player does not speak natural language.

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