ACL RD-TEC 1.0 Summarization of P06-2124

Paper Title:
BITAM: BILINGUAL TOPIC ADMIXTURE MODELS FOR WORD ALIGNMENT

Authors: Bing Zhao and Eric P. Xing

Other assigned terms:

  • accent
  • alignment accuracy
  • alignment model
  • alignment models
  • approach
  • association for computational linguistics
  • baseline model
  • bleu
  • bleu score
  • bleu scores
  • case
  • chinese words
  • co-occurrence
  • co-occurrence count
  • coherence
  • conditional distribution
  • conditional probability
  • data sets
  • data sparseness
  • data sparsity
  • development set
  • dirichlet allocation
  • distribution
  • document
  • documentpair
  • end-user
  • english sentence
  • estimation
  • evaluations
  • exponential model
  • f-measure
  • formalism
  • french
  • french sentence
  • french word
  • geometric mean
  • heuristic
  • heuristics
  • ibm models
  • index
  • interpolation
  • kullback-leibler divergence
  • language model
  • large training
  • lexicon
  • lexicon entries
  • likelihood
  • linguistic
  • linguistic granularity
  • linguistics
  • log-likelihood
  • maps
  • model parameters
  • nist
  • parallel corpus
  • posterior
  • precision
  • priori
  • probabilities
  • probability
  • probability density
  • process
  • query
  • seed
  • segments
  • sentence
  • sentence level
  • sentences
  • source language
  • source sentence
  • style
  • target language
  • target languages
  • target sentence
  • test data
  • test set
  • theory
  • tokens
  • topical admixture
  • topical context
  • topics
  • training
  • training data
  • translation lexicon
  • translation model
  • translation models
  • translation quality
  • translations
  • treebank
  • trigram
  • trigram language model
  • uniform distribution
  • vocabulary
  • word
  • word alignment accuracy
  • word alignments
  • word distribution
  • word level
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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