Language Modeling Using Efficient Best-first Bottom-up Parsing

@inproceedings{Hall2003LanguageMU,
  title={Language Modeling Using Efficient Best-first Bottom-up Parsing},
  author={Keith Hall},
  year={2003}
}
In this paper we present a two-stage best-first bottom-up word-lattice parser which we use as a language model for speech recognition. The parser works by using a “Figure of Merit” that selects lattice paths while simultaneously selecting syntactic category edges for parsing. Additionally, we introduce a modified version of the Inside-Outside algorithm used as a pruning stage between syntactic context-free parsing and lexicalized context-dependent parsing. We report our results in terms of Word… CONTINUE READING
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