Theory of Syntactic Recognition for Natural Languages
Theory of Syntactic Recognition for Natural Languages
A stochastic parts program and noun phrase parser for unrestricted text
ANLC '88 Proceedings of the second conference on Applied natural language processing
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Partial parsing: a report on work in progress
HLT '91 Proceedings of the workshop on Speech and Natural Language
Parsing the voyager domain using pearl
HLT '91 Proceedings of the workshop on Speech and Natural Language
Retrieving collocations from text: Xtract
Computational Linguistics - Special issue on using large corpora: I
Coping with ambiguity and unknown words through probabilistic models
Computational Linguistics - Special issue on using large corpora: II
Pearl: a probabilistic chart parser
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
Two languages are more informative than one
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Subject-dependent co-occurrence and word sense disambiguation
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
From N-grams to collocations: an evaluation of Xtract
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Resolving a pragmatic prepositional phrase attachment ambiguity
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Towards history-based grammars: using richer models for probabilistic parsing
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Towards history-based grammars: using richer models for probabilistic parsing
HLT '91 Proceedings of the workshop on Speech and Natural Language
A maximum entropy model for prepositional phrase attachment
HLT '94 Proceedings of the workshop on Human Language Technology
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From a certain (admittedly narrow) perspective, one of the annoying features of natural language is the ubiquitous syntactic ambiguity. For a computational model intended to assign syntactic descriptions to natural language text, this seem like a design defect. In general, when context and lexical content are taken into account, such syntactic ambiguity can be resolved: sentences used in context show, for the most part, little ambiguity. But the grammar provides many alternative analyses, and gives little guidance about resolving the ambiguity.