書誌事項
- タイトル別名
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- Effectiveness of Prosodic Features in Dependency Analysis of Read Japanese Sentences
- 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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抄録
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.
収録刊行物
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- 自然言語処理
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自然言語処理 8 (4), 71-89, 2001
一般社団法人 言語処理学会
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詳細情報 詳細情報について
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- CRID
- 1390282679452617600
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- NII論文ID
- 10021991649
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- NII書誌ID
- AN10472659
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- ISSN
- 21858314
- 13407619
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- NDL書誌ID
- 5941327
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可