ACL RD-TEC 1.0 Summarization of P94-1011

Paper Title:
PRECISE N-GRAM PROBABILITIES FROM STOCHASTIC CONTEXT-FREE GRAMMARS

Authors: Andreas Stolcke and Jonathan Segal

Other assigned terms:

  • abbreviation
  • approach
  • bigram
  • cache
  • case
  • chomsky normal form
  • coefficient
  • concreteness
  • conditional independence
  • conditional probabilities
  • context-free grammar
  • context-free grammars
  • corpora
  • derivation
  • derivation process
  • distribution
  • error rate
  • estimation
  • events
  • fact
  • formalisms
  • generation
  • grammar
  • grammars
  • hypotheses
  • implementation
  • interpolation
  • knowledge
  • language model
  • language models
  • lattices
  • likelihood
  • linguistic
  • linguistic knowledge
  • linguistics
  • linguists
  • markov models
  • mathematics
  • method
  • n-gram
  • n-gram models
  • n-grams
  • natural languages
  • nonterminal
  • nonterminals
  • normal form
  • parameter space
  • parse
  • part-ofspeech
  • probabilistic models
  • probabilities
  • probability
  • process
  • recognition task
  • recursion
  • recursive structure
  • right-hand side
  • seed
  • sentence
  • sentences
  • speech recognition task
  • stochastic context-free grammar
  • stochastic context-free grammars
  • substring
  • suffix
  • symbol
  • symbols
  • technique
  • terms
  • test corpus
  • training
  • training corpus
  • training data
  • trigram
  • unigram
  • vocabulary
  • vocabulary size
  • word
  • word error rate
  • word lattices
  • word pair
  • word string
  • word-pair grammar
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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