物語テキストにおける会話文の意図の話者属性による特徴

IPSJ

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  • Characteristics of Intentions within Conversational Sentences Based on Speakers' Attributes in Story Texts

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Abstract

BCCWJ所収の物語テキスト中の発話文に対して，発話者の意図に基づくタグ付けを行いコーパスを構築した．構築されたコーパスを発話者の年齢，性別，発話者と相手の関係で分析したところ，それぞれ異なった特徴が得られた．また他者の発話への応答のパターンにも話者の属性による違いが表れた．これらの特徴に基づいて属性や状況に合わせた発話の自動生成を行うことができれば，より自然な発話の生成が可能になると考えられる．

A corpus with speaker's intention tags was developed based on conversational sentences within texts of novels in BCCWJ. By analyzing the corpus from the viewpoints of age, gender, and relationships between the speaker and the hearer, different characteristics have extracted for each category. Moreover, the characteristics in response patterns for other person's utterances were dependent on speaker's attributes. If automatic appropriate utterance generation in each situation and attributes will be enabled based on those characteristics, the more natural utterance would be generated.

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