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ACL
2004

Head-Driven Parsing for Word Lattices

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Head-Driven Parsing for Word Lattices
We present the first application of the head-driven statistical parsing model of Collins (1999) as a simultaneous language model and parser for largevocabulary speech recognition. The model is adapted to an online left to right chart-parser for word lattices, integrating acoustic, n-gram, and parser probabilities. The parser uses structural and lexical dependencies not considered by ngram models, conditioning recognition on more linguistically-grounded relationships. Experiments on the Wall Street Journal treebank and lattice corpora show word error rates competitive with the standard n-gram language model while extracting additional structural information useful for speech understanding.
Christopher Collins, Bob Carpenter, Gerald Penn
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2004
Where ACL
Authors Christopher Collins, Bob Carpenter, Gerald Penn
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