Integrating linguistic and performance-based constraints for assigning phrase breaks

Authors:
Michaela Atterer;Ewan Klein
Affiliations:
University of Stuttgart, Germany;University of Edinburgh, UK
Venue:
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Year:
2002

Citing 3
Cited 3

Phonology and syntax: the relationship between sound and structure

Phonology and syntax: the relationship between sound and structure
A computational grammar of discourse-neutral prosodic phrasing in English

Computational Linguistics
Zwei Ansätze zur syntaxgesteuerten Prosodiegenerierung

KONVENS 2000 / Sprachkommunikation, Vorträge der gemeinsamen Veranstaltung 5. Konferenz zur Verarbeitung natürlicher Sprache (KONVENS), 6. ITG-Fachtagung "Sprachkommunikation"

An approach for detecting prosodic phrase boundaries in spoken english

Crossroads
ProPOSEL: a human-oriented prosody and PoS English lexicon for machine learning and NLP

COGALEX '08 Proceedings of the workshop on Cognitive Aspects of the Lexicon
Chinese prosodic phrasing with the source-channel modela

CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference

Quantified Score

Hi-index	0.00

Visualization

Abstract

The mapping between syntactic structure and prosodic structure is a widely discussed topic in linguistics. In this work we use insights gained from research on syntax-to-prosody mapping in order to develop a computational model which assigns prosodic structure to unrestricted text. The resulting structure is intended to help a text-to-speech (TTS) system to predict phrase breaks. In addition to linguistic constraints, the model also incorporates a performance-oriented parameter which approximates the effect of speaking rate. The model is rule-based rather than probabilistic, and does not require training. We present the model and implementations for both English and German, and give evaluation results for both implementations. We then examine how far the approach can account for the different break patterns which are associated with slow, normal and fast speech rates.