ACL RD-TEC 1.0 Summarization of P98-1047

Paper Title:
LEARNING A SYNTAGMATIC AND PARADIGMATIC STRUCTURE FROM LANGUAGE DATA WITH A BI-MULTIGRAM MODEL

Authors: Sabine Deligne and Yoshinori Sagisaka

Other assigned terms:

  • ambiguity
  • approach
  • backoff
  • bigram
  • case
  • class distribution
  • cluster
  • clustering procedure
  • clusters
  • conditional probability
  • context free grammars
  • convergence
  • correlation
  • correlations
  • dialogues
  • dictionaries
  • distribution
  • entropy
  • estimation
  • evaluation data
  • formalism
  • grammar
  • grammar rules
  • grammars
  • heuristic
  • interpolation
  • knowledge
  • language data
  • language model
  • language models
  • likelihood
  • local maximum
  • meaning
  • measure
  • measures
  • model size
  • mutual information
  • n-gram
  • n-gram models
  • n-grams
  • ngram
  • ngram model
  • parse
  • perplexity
  • perplexity measure
  • phrase
  • phrase-based model
  • pragmatic knowledge
  • precision
  • prediction accuracy
  • priori
  • probabilities
  • probability
  • procedure
  • process
  • recursion
  • semantic
  • sentence
  • sentences
  • speech act
  • speech act tag
  • stochastic model
  • symbol
  • technique
  • term
  • terms
  • test data
  • tokens
  • toolkit
  • training
  • training and test data
  • training corpus
  • training data
  • trigram
  • trigram model
  • understanding
  • unigram
  • unigram probability
  • utterance
  • vocabulary
  • word
  • word trigram
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

*** ***