By Bunt Harry, Nijholt Anton (auth.), Harry Bunt, Anton Nijholt (eds.)
Parsing know-how is anxious with discovering syntactic constitution in language. In parsing we need to care for incomplete and never inevitably exact formal descriptions of common languages. Robustness and potency are one of the major issuesin parsing. Corpora can be utilized to procure frequency information regarding language use. this enables probabilistic parsing, an technique that goals at either robustness and potency bring up. Approximation concepts, to be utilized on the point of language description, parsing approach, and syntactic illustration, have an identical target. Approximation on the point of syntactic illustration can be referred to as underspecification, a standard strategy to take care of syntactic ambiguity.
during this booklet new parsing applied sciences are gathered that target at attacking the issues of robustness and potency by means of precisely those suggestions: the layout of probabilistic grammars and effective probabilistic parsing algorithms, approximation ideas utilized to grammars and parsers to extend parsing potency, and strategies for underspecification and the combination of semantic info within the syntactic research to accommodate tremendous ambiguity.
The booklet provides a state of the art evaluation of present examine and improvement in parsing applied sciences. In its chapters we see how probabilistic tools have entered the toolbox of computational linguistics so that it will be utilized in either parsing concept and parsing perform. The ebook is either a special reference for researchers and an advent to the sphere for graduate students.
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Extra info for Advances in Probabilistic and Other Parsing Technologies
Chomsky's noun phrase visiting relatives has two analyses: a kind of relatives vs. a kind of visiting. A bilexical grammar knows that only the first is appropriate in the context hug visiting relatives, and only the second is appropriate in the context advocate visiting relatives. So the two analyses must be kept separate in the chart: they will combine with context differently and therefore have different signatures. Bilexical Grammars and O(n 3 ) Parsing 37 ql q2 (a) i L::,. ~J. J· +, lQW k q F F W L::,.
4) it fits naturally into this family, as what we have called SLG(4). Srinivas et al. (1996) (see also Joshi and Srinivas, 1994) have described a novel approach to parsing with LTAG, in which each word in a sentence is first assigned the most probable elementary tree - or 'supertag' - given the context in which the word appears , according to a trigram model of supertags. The rest of the parsing process then reduces to finding of supertags. The rest of the 26 Advances in probabilistic and other parsing technologies parsing process then reduces to finding a way of combining the supertags to form a complete analysis.
Katz, K, and Schasberger, B. (1994). The Penn Treebank: annotating predicate argument structure. In Proceedings ofthe HumanLanguage Technology Workshop, March 1994. Morgan Kaufmann, San Francisco, CA. , Vijay-Shanker, K, and Weir, D. (1995). D-Tree Grammars. In Proceedings of the 33rd Meeting of the Association for Computational Linguistics, pp. 151-158. Resnik , P. (1992). Probabilistic tree-adjoining grammar as a framework for statistical natural language processing. In Proceedings ofthe 14th International Conference on Computational Linguistics, pp.
Advances in Probabilistic and Other Parsing Technologies by Bunt Harry, Nijholt Anton (auth.), Harry Bunt, Anton Nijholt (eds.)
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