ACL RD-TEC 1.0 Summarization of P98-2148

Paper Title:
A STOCHASTIC LANGUAGE MODEL USING DEPENDENCY AND ITS IMPROVEMENT BY WORD CLUSTERING

Authors: Shinsuke Mori and Makoto Nagao

Other assigned terms:

  • alphabet
  • annotated corpus
  • binary relation
  • bunsetsu
  • case
  • character sequence
  • characters
  • class-based dependency model
  • class-based model
  • concept
  • content words
  • context-free grammar
  • corpus size
  • cross entropy
  • dependency model
  • dependency relation
  • dependency relations
  • derivation
  • derivation tree
  • derivations
  • distribution
  • edr corpus
  • entropy
  • estimation
  • experimental results
  • fact
  • function word
  • function words
  • generation
  • grammar
  • grammars
  • interpolation
  • interpolation coefficients
  • japanese language
  • language model
  • language models
  • lexicalized model
  • lexicon
  • linguistic
  • linguistic phenomena
  • method
  • methodology
  • n-gram
  • n-gram model
  • n-gram models
  • natural language
  • normal form
  • parsing accuracy
  • perplexity
  • pos-based model
  • posterior
  • predictive power
  • probabilities
  • probability
  • probability value
  • process
  • punctuation
  • relation
  • sentence
  • sentences
  • stochastic context-free grammar
  • stochastic language model
  • symbol
  • symbols
  • syntactic behavior
  • syntactic tree
  • technique
  • terminals
  • terms
  • test corpus
  • tree
  • uniform distribution
  • unknown word model
  • verb
  • word
  • word model
  • word n-gram model
  • word sequence
  • word sequences
  • words
  • writing system

Extracted Section Types:


This page last edited on 10 May 2017.

*** ***