ACL RD-TEC 1.0 Summarization of W96-0113

Paper Title:
A RE-ESTIMATION METHOD FOR STOCHASTIC LANGUAGE MODELING FROM AMBIGUOUS OBSERVATIONS

Other assigned terms:

  • adjective
  • ambiguity
  • ambiguous word
  • approach
  • bigram
  • bigram model
  • character sequence
  • characters
  • corpora
  • dictionary
  • edr corpus
  • estimation
  • experimental results
  • fact
  • implementation
  • interpolation
  • japanese corpus
  • japanese language
  • japanese sentences
  • japanese text
  • language corpora
  • language model
  • language models
  • language processing applications
  • lattice
  • lattice structure
  • likelihood
  • method
  • model parameters
  • modeling language
  • morpheme
  • morphemes
  • n-gram
  • n-gram language model
  • n-gram model
  • natural language
  • noise
  • pairs of words
  • part-of-speech
  • precision
  • probabilities
  • probability
  • procedure
  • process
  • search problem
  • segmentation ambiguity
  • sentence
  • sentences
  • stochastic language model
  • stochastic model
  • symbol
  • symbols
  • tag model
  • tag sequence
  • tagged corpus
  • tagged text
  • tagging accuracy
  • tagging problem
  • tags
  • technique
  • technology
  • test data
  • text
  • training
  • training data
  • training material
  • trigram
  • trigram model
  • unigram
  • untagged corpora
  • untagged corpus
  • verb
  • word
  • word boundaries
  • word sequence
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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