Spelling suggestions: "subject:"kontextfaktoren""
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Bidirectional parsingAndrei, Ştefan. January 2000 (has links) (PDF)
Hamburg, University, Diss., 2000.
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Syntaktische Fehlerkorrektur mit minimalen Kosten für deterministische GrammatikenMay, Ralf. January 2002 (has links) (PDF)
Bochum, Universiẗat, Diss., 2002.
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Learning probabilistic grammars for language modelingCarroll, Glenn R. January 1995 (has links)
Providence, RI, Brown Univ., Diss., 1995.
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Ambiguity of context-free languages as a function of the word lengthNaji, Mohamed Unknown Date (has links)
Univ., Diplomarbeit, 1998--Frankfurt (Main) / Englische Fassung der Diplomarbeit "Grad der Mehrdeutigkeit kontextfreier Grammatiken und Sprachen"
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Treebank refinement optimising representations of syntactic analyses for probabilistic context-free parsing /Ule, Tylman. January 2007 (has links)
Tübingen, Univ., Diss., 2007.
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Eine Rekonstruktion der LR-Theorie zur Elimination von Redundanz mit Anwendung auf den Bau von ELR-ParsernKannapinn, Sönke. Unknown Date (has links) (PDF)
Techn. Universiẗat, Diss., 2001--Berlin.
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Consistency of Probabilistic Context-Free GrammarsStüber, Torsten 10 May 2012 (has links) (PDF)
We present an algorithm for deciding whether an arbitrary proper probabilistic context-free grammar is consistent, i.e., whether the probability that a derivation terminates is one. Our procedure has time complexity $\\\\mathcal O(n^3)$ in the unit-cost model of computation. Moreover, we develop a novel characterization of consistent probabilistic context-free grammars. A simple corollary of our result is that training methods for probabilistic context-free grammars that are based on maximum-likelihood estimation always yield consistent grammars.
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Consistency of Probabilistic Context-Free GrammarsStüber, Torsten 10 May 2012 (has links)
We present an algorithm for deciding whether an arbitrary proper probabilistic context-free grammar is consistent, i.e., whether the probability that a derivation terminates is one. Our procedure has time complexity $\\\\mathcal O(n^3)$ in the unit-cost model of computation. Moreover, we develop a novel characterization of consistent probabilistic context-free grammars. A simple corollary of our result is that training methods for probabilistic context-free grammars that are based on maximum-likelihood estimation always yield consistent grammars.
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Persistent arrays, path problems, and context-free languagesGlier, Oliver. Unknown Date (has links)
Techn. Universiẗat, Diss., 2005--Darmstadt.
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Providing Mainstream Parser Generators with Modular Language Definition SupportKarol, Sven, Zschaler, Steffen 17 January 2012 (has links) (PDF)
The composition and reuse of existing textual languages is a frequently re-occurring problem. One possibility of composing textual languages lies on the level of parser specifications which are mainly based on context-free grammars and regular expressions. Unfortunately most mainstream parser generators provide proprietary specification languages and usually do not provide strong abstractions for reuse. New forms of parser generators do support modular language development, but they can often not be easily integrated with existing legacy applications. To support modular language development based on mainstream parser generators, in this paper we apply the Invasive Software Composition (ISC) paradigm to parser specification languages by using our Reuseware framework. Our approach is grounded on a platform independent metamodel and thus does not rely on a specific parser generator.
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