Against lexical generation of syntax
Lexical representation and process
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
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 new statistical parser based on bigram lexical dependencies
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Probabilistic parsing and psychological plausibility
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
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A striking property of the human parser is its efficiency and robustness. For the vast majority of sentences, the parser will effortlessly and rapidly deliver the correct analysis. In doing so, it is robust to noise, i.e., it can provide an analysis even if the input is distorted, e.g., by ungrammaticalities. Furthermore, the human parser achieves broad coverage: it deals with a wide variety of syntactic constructions, and is not restricted by the domain, genre, or modality of the input.