ACL RD-TEC 1.0 Summarization of P02-1025

Paper Title:
A STUDY ON RICHER SYNTACTIC DEPENDENCIES FOR STRUCTURED LANGUAGE MODELING

Authors: Peng Xu and Ciprian Chelba and Frederick Jelinek

Other assigned terms:

  • acoustic signal
  • annotation
  • annotator
  • approach
  • baseline model
  • beam
  • case
  • community
  • complete parse
  • contextual information
  • corpora
  • correlation
  • data sparseness
  • data sparseness problem
  • dependency structure
  • dependency structures
  • entropy
  • estimation
  • fact
  • human annotator
  • hypotheses
  • hypothesis
  • index
  • interpolation
  • joint probability
  • language model
  • language model performance
  • language model probability
  • lattice
  • lattices
  • likelihood
  • linguistics
  • maxent model
  • measures
  • method
  • model parameters
  • model performance
  • model probability
  • nist
  • noun phrase
  • parse
  • parse tree
  • parsing accuracy
  • part of speech
  • perplexity
  • phrase
  • pos tag
  • precision
  • predictive annotation
  • probabilistic model
  • probabilities
  • probability
  • procedure
  • right-hand side
  • search space
  • search strategy
  • sentence
  • sentence level
  • sentence position
  • sentences
  • signal
  • sparseness problem
  • statistics
  • structured language model
  • symbol
  • syntactic structure
  • tag information
  • tags
  • technique
  • terminals
  • terms
  • test data
  • test set
  • text
  • training
  • training corpus
  • training data
  • tree
  • treebank
  • treebank corpus
  • trees
  • trigram
  • trigram language model
  • understanding
  • upenn treebank
  • utterance
  • vocabulary
  • vocabulary size
  • word
  • word level
  • word sequence
  • word string
  • words
  • wsj corpora

Extracted Section Types:


This page last edited on 10 May 2017.

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