Procedure for quantitatively comparing the syntactic coverage of English grammars
HLT '91 Proceedings of the workshop on Speech and Natural Language
A Maximum-Entropy-Inspired Parser
A Maximum-Entropy-Inspired Parser
Robust grammatical analysis for spoken dialogue systems
Natural Language Engineering
Three generative, lexicalised models for statistical parsing
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
A DOP model for semantic interpretation
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
The intersection of finite state automata and definite clause grammars
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Computational complexity of probabilistic disambiguation by means of tree-grammars
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Tree-gram parsing lexical dependencies and structural relations
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
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Spoken utterances do not always abide by linguistically motivated grammatical rules. These utterances exhibit various phenomena considered outside the realm of theoretically-oriented linguistic research. For a language model that extends linguistically motivated grammars with probabilistic reasoning, the problem is how to feature the robustness that is necessary for speech understanding. This paper addresses the issue of the robustness of the Data Oriented Parsing (DOP) model within a Dutch speech-based dialogue system. It presents an extension of the DOP model into a head-driven variant, which allows for Markovian generation of parse trees. It is shown empirically that the new variant improves over the original DOP model on two tasks: the formal understanding of speech utterances, and the extraction of semantic concepts from word lattices output by a speech recognizer.