ACL RD-TEC 1.0 Summarization of C00-1081

Paper Title:
A STOCHASTIC PARSER BASED ON A STRUCTURAL WORD PREDICTION MODEL

Authors: Shinsuke MORI and Masafumi NISHIMURA and Nobuyasu ITOH and Shiho OGINO and Hideo WATANABE

Other assigned terms:

  • ambiguity
  • approach
  • bunsetsu
  • case
  • case frame
  • character sequence
  • characters
  • content words
  • context-free grammar
  • corpus size
  • cross entropy
  • dependency model
  • dependency relation
  • dependency relations
  • dependency structure
  • dependency tree
  • derivations
  • distribution
  • entropy
  • estimation
  • events
  • experimental results
  • fact
  • finite state model
  • frame
  • grammar
  • head word
  • interpolation
  • japanese dependency
  • japanese language
  • japanese sentences
  • language model
  • language models
  • language structure
  • lexica
  • lexicalized model
  • lexicon
  • likelihood
  • linguists
  • method
  • n-gram
  • n-gram model
  • n-gram models
  • natural language
  • natural languages
  • parse
  • parse tree
  • parsing accuracy
  • part-of-speech
  • partial parse
  • partial parse tree
  • pos-based model
  • prediction model
  • predictive power
  • probabilities
  • probability
  • process
  • relation
  • sentence
  • sentences
  • spoken language
  • stochastic language model
  • stochastic model
  • structure of a sentence
  • subtrees
  • technique
  • terms
  • test corpus
  • text
  • training
  • training corpus
  • training data
  • transition probability
  • tree
  • trees
  • understanding
  • uniform distribution
  • unknown word model
  • vocabulary
  • word
  • word model
  • word sequence
  • word string
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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