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- W2029333707 abstract "Probabilistic context-free grammars (PCFGs) are a widely known class of probabilistic language models. The Inside-Outside (I-O) algorithm is well known as an efficient EM algorithm tailored for PCFGs. Although the algorithm requires inexpensive linguistic resources, there remains a problem in its efficiency. This paper presents an efficient method for training PCFG parameters in which the parser is separated from the EM algorithm, assuming that the underlying CFG is given. A new EM algorithm exploits the compactness of well-formed substring tables (WFSTs) generated by the parser. Our proposal is general in that the input grammar need not take Chomsky normal form (CNF) while it is equivalent to the I-O algorithm in the CNF case. In addition, we propose a polynomial-time EM algorithm for CFGs with context-sensitive probabilities, and report experimental results with the ATR dialogue corpus and a hand-crafted Japanese grammar." @default.
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- W2029333707 date "2014-01-01" @default.
- W2029333707 modified "2023-10-16" @default.
- W2029333707 title "Using WFSTs for Efficient EM Learning of Probabilistic CFGs and Their Extensions" @default.
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- W2029333707 doi "https://doi.org/10.5715/jnlp.21.619" @default.
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