ACL RD-TEC 1.0 Summarization of C04-1159

Paper Title:
DEPENDENCY STRUCTURE ANALYSIS AND SENTENCE BOUNDARY DETECTION IN SPONTANEOUS JAPANESE

Authors: Kazuya Shitaoka and Kiyotaka Uchimoto and Tatsuya Kawahara and Hitoshi Isahara

Other assigned terms:

  • approach
  • beam
  • bunsetsu
  • bunsetsus
  • case
  • case frame
  • chunk
  • conditional probability
  • correlation
  • dependency grammar
  • dependency information
  • dependency structure
  • dependency structures
  • dialogues
  • discourse
  • discourse structures
  • duration
  • entropy
  • entropy models
  • error rate
  • f-measure
  • feature
  • frame
  • grammar
  • inflection
  • japanese dependency
  • japanese dependency structure
  • japanese sentences
  • kyoto university text corpus
  • labeling
  • language model
  • language models
  • learning model
  • likelihood
  • linguistic
  • long-distance dependencies
  • maximum entropy models
  • meaning
  • method
  • morphemes
  • morphological information
  • part of speech
  • parts of speech
  • pause
  • pause duration
  • pauses
  • precision
  • probabilities
  • probability
  • probability model
  • process
  • pronunciation
  • punctuation
  • punctuation marks
  • search space
  • semantic
  • sentence
  • sentence boundaries
  • sentence boundary
  • sentences
  • speech corpus
  • statistical model
  • structure of a sentence
  • support vector
  • syntactic structure
  • target word
  • technology
  • terms
  • test data
  • text
  • text corpus
  • training
  • training data
  • transcriptions
  • translation model
  • turn-taking
  • understanding
  • utterance
  • word
  • word order
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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