From text to speech: the MITalk system
From text to speech: the MITalk system
Generating contextually appropriate intonation
EACL '93 Proceedings of the sixth conference on European chapter of the Association for Computational Linguistics
Assigning intonational features in synthesized spoken directions
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
A fast algorithm for the generation of referring expressions
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 1
Functor-driven natural language generation with categorial-unification grammars
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
Data-driven approaches for information structure identification
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
A modular account of information structure in extensible dependency grammar
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
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This paper presents a model for generating prosodically appropriate synthesized responses to database queries using Combinatory Categorial Grammar (CCG - cf. [22]), a formalism which easily integrates the notions of syntactic constituency, prosodic phrasing and information structure. The model determines accent locations within phrases on the basis of contrastive sets derived from the discourse structure and a domain-independent knowledge base.