ACL RD-TEC 1.0 Summarization of H94-1054

Paper Title:
JAPANESE WORD SEGMENTATION BY HIDDEN MARKOV MODEL

Other assigned terms:

  • alphabet
  • annotated corpus
  • approach
  • automatic processing
  • character type
  • characters
  • english text
  • error rate
  • fact
  • generation
  • grammar
  • grammar rules
  • hypothesis
  • implementation
  • japanese language
  • japanese text
  • japanese text \
  • japanese word
  • kanji
  • katakana
  • knowledge
  • knowledge base
  • labeling
  • large corpus
  • lexicon
  • likelihood
  • markov models
  • meaning
  • measure
  • part of speech
  • preprocessor
  • priori
  • probabilistic model
  • probabilities
  • probability
  • procedure
  • process
  • segmentation accuracy
  • segments
  • sentence
  • sentences
  • set size
  • stochastic model
  • symbols
  • technology
  • test corpus
  • test data
  • text
  • topology
  • trained model
  • training
  • training data
  • training material
  • training set
  • training set size
  • word
  • word boundaries
  • word boundary
  • word segmentation accuracy
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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