Effectiveness of Prosodic Features in Dependency Analysis of Read Japanese Sentences

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  • 日本語読み上げ文の係り受け解析における韻律的特徴量の有効性
  • ギジュツ シリョウ ニホンゴ ヨミアゲ ブン ノ カカリ ウケ カイセキ ニ オケル インリツテキ トクチョウリョウ ノ ユウコウセイ

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Abstract

Prosody contains information that is lost when utterances are transcribed into letters or characters. Such information may be useful for syntactic analysis of spoken sentences. In our previous work, we took up 12 prosodic features, and made a statistical model to represent the relationship between those features and dependency distances. Then, using a dependency analyzer that incorporates the model, we have shown that prosodic information is in fact effective for dependency analysis of read Japanese sentences. In the present work, we employed 24 features including new ones, and conducted an extensive search for effective ones. Also, the statistical model was modified to better fit the actual distributions of the feature values. As a result, in open experiments using the ATR 503-sentence database, the correct parsing rate was improved by 21.2% with the use of the prosodic features. This figure is 4.0 points higher than the improvement in the previous experiment of our group. Among the features, the duration of pause was definitely effective in both the open and the closed experiments, while the effectiveness of other features related to the pitch, the power, and the speaking rate, when used together with the duration of pause, was not clear in the open experiments.

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