linguistics, probabilistic context free grammars (PCFGs) extend context-free grammars, similar to how hidden Markov models extend regular grammars. Each production...
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Context-free may refer to: Context-free grammar Deterministic context-free grammar Generalized context-free grammar Probabilistic context-free grammar...
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Large language model (redirect from Probabilistic tokenization)
communication technologist Vyvyan Evans mapped out the role of probabilistic context-free grammar (PCFG) in enabling NLP to model cognitive patterns and generate...
115 KB (11,926 words) - 02:40, 16 June 2025
algorithm is a way of re-estimating production probabilities in a probabilistic context-free grammar. It was introduced by James K. Baker in 1979 as a generalization...
5 KB (957 words) - 11:51, 8 March 2023
natural languages. There are several methods for induction of probabilistic context-free grammars.[further explanation needed] The method proposed in Section...
18 KB (2,166 words) - 08:39, 11 May 2025
on building out the parse tree using a probabilistic context-free grammar (PCFG) (see also stochastic grammar). Lexical semantics What is the computational...
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Parsing (redirect from Grammar parser)
specific contexts. (See machine learning.) Approaches which have been used include straightforward PCFGs (probabilistic context-free grammars), maximum...
37 KB (4,880 words) - 03:36, 30 May 2025
effective compositional vector grammar. A compositional vector grammar can be thought of as probabilistic context free grammar (PCFG) implemented by an RNN...
180 KB (17,774 words) - 18:33, 20 June 2025
algorithm, a way of re-estimating production probabilities in a probabilistic context-free grammar Inside/outside, a model of political reform Inside–outside...
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included work in the subareas of part-of-speech tagging, probabilistic context-free grammar induction, and, more recently, syntactic disambiguation through...
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pick the most probable one. One way to do this is by using a probabilistic context-free grammar (PCFG) which has a probability of each constituency rule,...
23 KB (2,829 words) - 02:01, 8 January 2024
stochastic grammar (statistical grammar) is a grammar framework with a probabilistic notion of grammaticality: Stochastic context-free grammar Statistical...
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L-system (redirect from Context-sensitive L-system)
L-system's grammar. An L-system is context-free if each production rule refers only to an individual symbol and not to its neighbours. Context-free L-systems...
36 KB (4,683 words) - 19:01, 29 April 2025
algorithm (alternatively called CYK, or CKY) is a parsing algorithm for context-free grammars published by Itiroo Sakai in 1961. The algorithm is named after...
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recognition Prisma (app) Probabilistic Action Cores Probabilistic context-free grammar Probabilistic latent semantic analysis Probabilistic soft logic Probability...
39 KB (3,386 words) - 19:51, 2 June 2025
In formal language theory, a context-free grammar, G, is said to be in Chomsky normal form (first described by Noam Chomsky) if all of its production rules...
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probabilistic context-free grammars Lexical analysis LL parser: a relatively simple linear time parsing algorithm for a limited class of context-free...
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sentence, when statistical parsing techniques are used, such as probabilistic context-free grammars (PCFG's). Random fields. These represent the extension of...
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Diffusion model (redirect from Diffusion probabilistic model)
equivalent formalisms, including Markov chains, denoising diffusion probabilistic models, noise conditioned score networks, and stochastic differential...
84 KB (14,123 words) - 01:54, 6 June 2025
the inside-outside algorithm for unsupervised induction of probabilistic context-free grammars. In the analysis of intertrade waiting times i.e. the time...
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Generative model (category Probabilistic models)
model (and other types of mixture model) Hidden Markov model Probabilistic context-free grammar Bayesian network (e.g. Naive bayes, Autoregressive model)...
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de Medeiros, Bill Glodek. 2009. "Password Cracking Using Probabilistic Context-Free Grammars". 2009 30th IEEE Symposium on Security and Privacy: 391-405...
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Stemloc (category Free software programmed in Dart)
prediction based on probabilistic models of RNA structure known as Pair stochastic context-free grammars (also probabilistic context-free grammars). Stemloc attempts...
8 KB (958 words) - 11:43, 23 December 2023
Lafferty and Robert L. Mercer. (1990) "Basic methods of probabilistic context free grammars". Technical Report RC 16374 (72684), IBM. Reprinted in Laface...
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(1992). Grammatical Trigrams: a Probabilistic Model of Link Grammar (PDF). Proceedings of the AAAI Conference on Probabilistic Approaches to Natural Language...
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grammar Prefix grammar Tree automaton Pushdown automaton Context-free grammar Büchi automaton Chomsky hierarchy Context-sensitive language, context-sensitive...
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declarative a1 probabilistic/certain i3ha3i1 probabilistic/uncertain/beginning a3ba3ga3i1 probabilistic/uncertain/execution a3ba3i1 probabilistic/uncertain/completion...
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structure grammar (GPSG) – Head-driven phrase structure grammar (HPSG) – Lexical functional grammar (LFG) – Probabilistic context-free grammar (PCFG) –...
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Lexical analysis (section Lexical grammar)
grammar is not context-free: INDENT–DEDENT depend on the contextual information of prior indent levels. Generally lexical grammars are context-free,...
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Artificial intelligence (redirect from Probabilistic AI)
action (it is not "deterministic"). It must choose an action by making a probabilistic guess and then reassess the situation to see if the action worked. In...
281 KB (28,702 words) - 08:33, 20 June 2025