tailieunhanh - Báo cáo khoa học: "Learning PP attachment for filtering prosodic phrasing"

We explore learning prepositionalphrase attachment in Dutch, to use it as a filter in prosodic phrasing. From a syntactic treebank of spoken Dutch we extract instances of the attachment of prepositional phrases to either a governing verb or noun. Using cross-validated parameter and feature selection, we train two learning algorithms, TB I and RIPPER, 011 making this distinction, based on unigram and bigram lexical features and a cooccurrence feature derived from WWW counts. We optimize the learning on noun attachment, since in a second stage we use the attachment decision for blocking the incorrect placement of phrase boundaries before. | Learning pp attachment for filtering prosodic phrasing Olga van Herwijnen and Jacques Terken Technology Management Eindhoven University of Technology . Box 513 NL-5600 MB Eindhoven The Netherlands jnen @ Antal van den Bosch and Erwin Marsi ILK Comp. Ling and Al Tilburg University . Box 90153rNL-5000 LE Tilburg The Netherlands @ Abstract We explore learning prepositional-phrase attachment in Dutch to use it as a filter in prosodic phrasing. From a syntactic treebank of spoken Dutch we extract instances of the attachment of prepositional phrases to either a governing verb or noun. Using cross-validated parameter and feature selection we train two learning algorithms IB 1 and RIPPER on making this distinction based on unigram and bigram lexical features and a cooccurrence feature derived from WWW counts. We optimize the learning on noun attachment since in a second stage we use the attachment decision for blocking the incorrect placement of phrase boundaries before prepositional phrases attached to the preceding noun. On noun attachment IB 1 attains an F-score of 82 RIPPER an F-score of 78. When used as a filter for prosodic phrasing using attachment decisions from IB1 yields the best improvement on precision by six points to 71 on phrase boundary placement. 1 Introduction One of the factors determining the acceptability of synthetic speech is the appropriate placement of phrase boundaries realized typically and most audibly by pauses Sanderman 1996 . Incorrect prosodic phrasing may impede the listener in the correct understanding of the spoken utterance Sanderman and Collier 1997 . A major factor causing difficulties in appropriate phrase boundary placement is the lack of reliable information about syntactic structure. Even if there is no one-to-one mapping between syntax and prosody the placement of prosodic phrase boundaries is nevertheless dependent on syntactic information Selkirk 1984 Bear and Price .

• Báo cáo khoa học
• Learning PP attachment
• filtering prosodic phrasing
• Olga van Herwijnen and Jacques Terken
• scientific reports
• model language
• process natural language
• Dialog Control
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• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
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• Jermld Kaplan Jim David
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