ACL RD-TEC 1.0 Summarization of W06-3113

Paper Title:
HOW MANY BITS ARE NEEDED TO STORE PROBABILITIES FOR PHRASE-BASED TRANSLATION?

Authors: Marcello Federico and Nicola Bertoldi

Other assigned terms:

  • approach
  • back-off model
  • bleu
  • bleu score
  • bleu scores
  • case
  • codebook
  • community
  • compression ratio
  • conditional distribution
  • convergence
  • corpora
  • data set
  • data sparseness
  • data structure
  • data structures
  • distribution
  • error rate
  • experimental results
  • feature
  • heuristic
  • hypotheses
  • implementation
  • language corpora
  • language model
  • language models
  • language processing tasks
  • large-vocabulary speech
  • linguistic
  • linguistic data
  • log-linear model
  • maps
  • measures
  • memory consumption
  • method
  • modality
  • mt evaluation
  • n-gram
  • n-gram language model
  • n-gram models
  • n-grams
  • natural language
  • natural language processing tasks
  • nist
  • parallel corpus
  • parallel texts
  • permutation
  • phrase
  • phrase-based translation model
  • posterior
  • posterior probability
  • probabilistic models
  • probabilities
  • probability
  • process
  • processing tasks
  • punctuation
  • reference translations
  • reordering
  • retrieval performance
  • search space
  • sentence
  • sentences
  • source language
  • statistical approach
  • statistics
  • target languages
  • target string
  • term
  • terms
  • test data
  • test set
  • testing data
  • text
  • training
  • training and test data
  • training and testing data
  • training data
  • translation model
  • translation quality
  • translations
  • unigram
  • vocabulary
  • word
  • word alignments
  • word string
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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