A Novel Estimation Method of Onomatopoeic Word’s Feeling based on Mora Sequence Patterns and Feeling Vectors

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  • モーラ系列と音象徴ベクトルによるオノマトペの印象推定法
  • モーラ ケイレツ ト オト ショウチョウ ベクトル ニ ヨル オノマトペ ノ インショウ スイテイホウ

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Onomatopoeic words are frequently used for expression of rich presence. These words can be understood easily for native speakers. Therefore most of onomatopoetic words are not written in a national language dictionary, or only a part of meaning is described. On the other hand, it is hard to understand a meaning of onomatopoetic words for non-native speakers. They can neither feel a meaning of an onomatopoetic word nor look it up in a dictionary. In this paper, an estimation method of feeling of an onomatopoeic word has been proposed. The feeling of the onomatopoeic word is inferred by using several features, such as morae sequence pattern of a onomatopoeic word, feeling of each mora, and so on. From the experimental results, the estimation performance of the proposed method was 0.345 (F-value). It was approximately 80% of the estimation performance given by human (F-value was 0.427). It can be said that the proposed method is useful for supporting learners of onomatopoeic words.

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