Using a lexicon of canonical graphs in a semantic interpreter
Relational models of the lexicon
Stochastic representation of semantic structure for speech understanding
Speech Communication - Eurospeech '91
The Philips automatic train timetable information system
Speech Communication - Special issue on interactive voice technology for telecommunication applications
A Modular Approach to Spoken Language Translation for Large Domains
AMTA '98 Proceedings of the Third Conference of the Association for Machine Translation in the Americas on Machine Translation and the Information Soup
Robust grammatical analysis for spoken dialogue systems
Natural Language Engineering
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Parole et traduction automatique: le module de reconnaissance RAPHAEL
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Understanding spontaneous speech: the Phoenix system
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
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In this paper we present a semantic based partial parsing system for spontaneous dialogue processing. The processing is done following three main steps: at the first a pre-processing module normalizes spoken utterances from errors and extragrammaticalities. The second step consists of parsing the input utterances. Parsing is done on Semantic Tree Unification Grammar STUG. We propose this formalism as an extended version of traditional semantic grammar. The key features of this formalism are linguistic and cognitive motivation, robustness and efficiency in processing spoken language extragrammaticalities. The partial aspect of the parser is achieved via a selective strategy allowing the system to detect and process relevant islands in the utterance. Finally, the parsed utterances are associated with a semantic interpretation by a frame module.