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Titlebook: Current Issues in Parsing Technology; Masaru Tomita Book 1991 Springer Science+Business Media New York 1991 Constraint Satisfaction.Parsin

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Why Parsing Technologies?,uired to cope with the messy languages. Many linguistic theories and formalisms have been developed and discussed in the area of Computational Linguistics last couple of decades. On the other hand, there have been many practical systems that involve natural language parsing, such as machine translat
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Parsing with Lexicalized Tree Adjoining Grammar,xicon is thereby increased in both amount and complexity: see, for example, lexical rules in LFG (Kaplan & Bresnan, 1983), GPSG (Gazdar, Klein, Pullum, & Sag, 1985), HPSG (Pollard & Sag, 1987), Combinatory Categorial Grammars (Steedman, 1987), Karttunen’s version of Categorial Grammar (Karttunen, 19
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Parsing with Categorial Grammar in Predictive Normal Form,ammatical categories are viewed as functional types, be generalized in order to analyze “noncanonical” natural language constructions such as whextraction and nonconstituent conjunction. A consequence of these augmentations is an explosion of semantically equivalent derivations admitted by the gramm
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PREMO: Parsing by conspicuous lexical consumption,inguistic and AI models. Recent years have also seen rising interest in the computational analysis of machine-readable dictionaries as a lexical resource for parsing. These two trends are neither accidental nor independent of each other; an obvious place to look for large-scale linguistic informatio
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Parsing Spoken Language Using Combinatory Grammars,inatory Logic, such as functional composition and type raising. The introduction of such operations is motivated by the need to provide an explanatory account of coordination and unbounded dependency. However, the associativity of functional composition tends to engender an equivalence class of poss
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