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[PDF] Top 20 Compound Probabilistic Context Free Grammars for Grammar Induction

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Compound Probabilistic Context Free Grammars for Grammar Induction

Compound Probabilistic Context Free Grammars for Grammar Induction

... meaningful grammars by simply optimiz- ing log ...this compound PCFG—continuous mixture of PCFGs—the context-free assumptions hold con- ditioned on the latent vector but not uncondition- ally, ... See full document

17

Kullback Leibler Distance between Probabilistic Context Free Grammars and Probabilistic Finite Automata

Kullback Leibler Distance between Probabilistic Context Free Grammars and Probabilistic Finite Automata

... Regular expressions, with their procedural counter-part of finite automata (FAs), are not able to describe hierarchical, tree-shaped struc- ture, and thereby seem less suitable than CFGs for full analysis of syntactic ... See full document

7

Weighted and Probabilistic Context Free Grammars Are Equally Expressive

Weighted and Probabilistic Context Free Grammars Are Equally Expressive

... Hidden Markov models (HMMs) are a special case of PCFGs. The structures they produce are labeled sequences, which are equivalent to right-branching trees. We can write an HMM as a PCFG with restricted types of rules. We ... See full document

16

Cross Entropy and Estimation of Probabilistic Context Free Grammars

Cross Entropy and Estimation of Probabilistic Context Free Grammars

... In practical applications, the results of Section 4 can be exploited in the computation of model tight- ness. In fact, cross-entropy indicates how much the estimated model fits the observed data, and is com- monly ... See full document

8

Probabilistic Context Free Grammars for Syllabification and Grapheme to Phoneme Conversion

Probabilistic Context Free Grammars for Syllabification and Grapheme to Phoneme Conversion

... Although, it is dicult to compare the per- formance with other systems and methods, we want to refer to several approaches that ex- amined the syllabication and grapheme-to- phoneme conversion task. Müller et al. (2000) ... See full document

8

The information rate and other parameters of probabilistic context free grammars and their parsers

The information rate and other parameters of probabilistic context free grammars and their parsers

... parsing to go from abutting below the ~eftmost bottom edge of a domino to the next bottom edge at least one input must be matched against, so as there is only a finite number of input sy[r] ... See full document

182

Unsupervised induction of stochastic context free grammars using distributional clustering

Unsupervised induction of stochastic context free grammars using distributional clustering

... In this paper I present an algorithm using con- text distribution clustering (CDC) for the un- supervised induction of stochastic context-free grammars (SCFGs) from tagged text. Previ- ous ... See full document

8

Prefix Probabilities for Linear Context Free Rewriting Systems

Prefix probabilities for linear context free rewriting systems

... for probabilistic synchronous context-free grammars (Nederhof and Satta, ...chronous context-free grammar can be expressed in terms of a restricted type of ...synchronous ... See full document

12

Grammatical Induction with Error Correction for Deterministic Context-free L-systems

Grammatical Induction with Error Correction for Deterministic Context-free L-systems

... deterministic/stochastic context-free L- ...like context-free grammars from various sequences, however, with limited success for grammatical induction of L-system ...stochastic ... See full document

5

An Efficient Probabilistic Context Free Parsing Algorithm that Computes Prefix Probabilities

An Efficient Probabilistic Context Free Parsing Algorithm that Computes Prefix Probabilities

... We describe an extension of Earley's parser for stochastic context-free grammars that computes the following quantities given a stochastic context-free grammar and an input string: a pro[r] ... See full document

38

Estimation of Probabilistic Context Free Grammars

Estimation of Probabilistic Context Free Grammars

... The assignment of probabilities to the productions of a context-free grammar may generate an improper distribution: the probability of all finite parse trees is less than one.. The condi[r] ... See full document

8

Probabilistic Context Free Grammar Induction Based on Structural Zeros

Probabilistic Context Free Grammar Induction Based on Structural Zeros

... for induction of con- cise and accurate probabilistic context- free grammars for efficient use in early stages of a multi-stage parsing ...induced probabilistic ... See full document

8

Estimation of Consistent Probabilistic Context free Grammars

Estimation of Consistent Probabilistic Context free Grammars

... of probabilistic context- free ...with probabilistic rewriting formalisms whose underlying derivations can be characterized by means of context-free ...with probabilistic ... See full document

8

Prefix Probability for Probabilistic Synchronous Context Free Grammars

Prefix Probability for Probabilistic Synchronous Context Free Grammars

... for probabilistic context-free gram- mars but that has never been investigated in the con- text of PSCFGs, ...a probabilistic context-free grammar, this problem is defined ... See full document

10

Authorship Attribution Using Probabilistic Context Free Grammars

Authorship Attribution Using Probabilistic Context Free Grammars

... We further investigate the use of syntactic infor- mation by building complete models of each au- thor’s syntax to distinguish between authors. Our approach involves building a probabilistic context- ... See full document

5

Statistical Properties of Probabilistic Context Free Grammars

Statistical Properties of Probabilistic Context Free Grammars

... We present a method, called the relative weighted frequency method, to assign production probabilities that impose proper PCFG distributions on finite parses.. We demonstrate that these [r] ... See full document

30

Joshua 2 0: A Toolkit for Parsing Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies

Joshua 2 0: A Toolkit for Parsing Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies

... motivated grammars exhibit more coher- ent syntactic structure than Hiero and typically re- sult in better reordering, especially for languages with word orders that diverge from English, like Urdu (Baker et ... See full document

5

How to cover a grammar

How to cover a grammar

... These are defined as context-free grammars, that satisfy the constraint that the right hand side of each grammar rule have at most two non-terminals.. The construction of parse matrices [r] ... See full document

8

LCFRS binarization and debinarization for directional parsing

LCFRS binarization and debinarization for directional parsing

... Linear Context-Free Rewriting System (LCFRS), markovized gram- mars are obtained through the annotation of bi- narization non-terminals during grammar bina- rization, as in the corresponding work on ... See full document

7

The FINITE STRING Newsletter: ACL 1986 Annual Meeting

The FINITE STRING Newsletter: ACL 1986 Annual Meeting

... Topics to be considered include the components of a natural language processing system; syntax analysis including context-free grammars, augmented context-free grammars, grammatical cons[r] ... See full document

7

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