A lazy way to chart-parse with Categorial Grammars
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Type-raising and directionality in combinatory grammar
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Structure and intonation in spoken language understanding
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Functor-driven natural language generation with categorial-unification grammars
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Sentence planning as description using tree adjoining grammar
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Generative power of CCGs with generalized type-raised categories
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
An information structural approach to spoken language generation
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
A constraint-based approach to English prosodic constituents
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Information based intonation synthesis
HLT '94 Proceedings of the workshop on Human Language Technology
Planning word-order dependent focus assignments
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
The framework of the speech communication system with emotion processing
AIKED'07 Proceedings of the 6th Conference on 6th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases - Volume 6
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One source of unnaturalness in the output of text-to-speech systems from the involvement of algorithmically generated default intonation contours, applied under minimal control from syntax and semantics. It is a tribute both to the resilience of human language understanding and to the ingenuity of the inventors of these algorithms that the results are as intelligible as they are. However, the result is very frequently unnatural, and may on occasion mislead the hearer. This paper extends earlier work on the relation between syntax and intonation in language understanding in Combinatory Categorial Grammar (CCG). A generator with a simple and domain-independent discourse model can be used to direct synthesis of intonation contours for responses to data-base queries, to convey distinctions of contrast and emphasis determined by the discourse model.