Computer science Techniques for context-free grammar induction and applications THE UNIVERSITY OF ALABAMA AT BIRMINGHAM Barrett R. Bryant JavedFaizanGrammar Inference is the process of learning a grammar from examples, either positive (i.e., the grammar generates the string) and/or negative (i.e....
context-free grammar (redirected from Context-free grammars) context-free grammar[′kän‚tekst ‚frē ′gram·ər] (computer science) A grammar in which any occurrence of a metavariable may be replaced by one of its alternatives. McGraw-Hill Dictionary of Scientific & Technical Terms...
{ w | w = w R } is not regular. – However, we can describe this language by the following context-free grammar over the alphabet {0,1}: P P 0 P 1 P 0P0 P 1P1 Inductive definition More compactly: P | 0 | 1 | 0P0 | 1P1 Formal Definition of a CFG • There is a ...
V VP associated with the sentence I hate annoying Figure 2: A context-free grammar neighbors. On the left, we have the interpretation that the neighbors are noisy and we don’t like them. On the right, we have the interpretation that we don’t like doing things (like playing loud music...
编译原理英文版课件:Chapter3 Context-Free Grammars and Parsing.ppt,?-production ?-production empty ? ?, called an ?-production A grammar rule that generates the empty string, using ? for the empty string A grammar that generates a language containing the
A context-free grammar provides a simple and mathematically precise mechanism for describing the methods by which phrases in some natural language are built from smaller blocks, capturing the "block structure" of sentences in a natural way. Its simplicity makes the formalism amenable to rigorous math...
Grammar Inference is the process of learning a grammar from examples, either positive (i.e., the grammar generates the string) and/or negative (i.e., the grammar does not generate the string). Although grammar inference has been successfully applied to many diverse domains such as speech reco...
Probabilistic context-free grammars (PCFGs) have played an important role in the model- ing of syntax in natural language processing and other applications... P Liang,MI Jordany,K Dan 被引量: 55发表: 2009年 Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering ...
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We discuss the mechanical transformation of an unambiguous context-free grammar (CFG) into a definite-clause grammar (DCG) using a finite set of examples, each of which is a pair (s, m), where s is a sentence belonging to the language defined by the CFG and m is the semantic ...