ACL RD-TEC 1.0 Summarization of N06-1004

Paper Title:
SEGMENT CHOICE MODELS: FEATURE-RICH MODELS FOR GLOBAL DISTORTION IN STATISTICAL MACHINE TRANSLATION

Authors: Roland Kuhn and Denis Yuen and Michel Simard and Patrick Paul and George Foster and Eric Joanis and Howard Johnson

Other assigned terms:

  • alphabet
  • analogy
  • approach
  • association for computational linguistics
  • baseline model
  • beam
  • bias
  • bleu
  • case
  • chinese corpus
  • chinese words
  • chunks
  • contextual information
  • corpora
  • development set
  • distribution
  • english language
  • english language model
  • evaluation set
  • experimental results
  • heuristic
  • hypotheses
  • hypothesis
  • ibm model
  • labeling
  • language model
  • language models
  • language pairs
  • linguistics
  • log-linear combination
  • measure
  • method
  • nist
  • pairwise system comparison
  • parallel text
  • perplexity
  • phrase
  • phrase translation model
  • priori
  • probabilistic model
  • probabilities
  • probability
  • probability distributions
  • procedure
  • question types
  • reordering
  • segments
  • sentence
  • sentence pair
  • sentences
  • source sentence
  • syntax
  • target language
  • technique
  • technology
  • test corpus
  • test data
  • text
  • tokens
  • training
  • training corpus
  • training data
  • training set
  • translation model
  • tree
  • trees
  • trigram
  • trigram language model
  • uniform distribution
  • uniform probability
  • word
  • word alignments
  • word classes
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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