ACL RD-TEC 1.0 Summarization of N06-1013

Paper Title:
A MAXIMUM ENTROPY APPROACH TO COMBINING WORD ALIGNMENTS

Authors: Necip Fazil Ayan and Bonnie J. Dorr

Other assigned terms:

  • aligned corpus
  • alignment error rate
  • alignment problem
  • approach
  • bilingual lexicons
  • bleu
  • bleu scores
  • brevity penalty
  • case
  • chinese treebank
  • classification problem
  • confidence score
  • data set
  • distribution
  • document
  • english sentence
  • entropy
  • entropy models
  • error rate
  • evaluation data
  • evaluation metric
  • evaluation metrics
  • evaluations
  • f-score
  • feature
  • feature set
  • feature sets
  • framenet
  • gold standard
  • heuristic
  • heuristics
  • ibm model
  • ibm models
  • implementation
  • knowledge
  • labeling
  • language model
  • language modeling toolkit
  • language pair
  • language pairs
  • likelihood
  • linguistic
  • linguistic features
  • log-linear combination
  • maximum entropy models
  • method
  • model parameter
  • model parameters
  • modeling toolkit
  • mt evaluation
  • mt quality
  • n-grams
  • neural network framework
  • nist
  • oracle
  • parallel corpus
  • parallel texts
  • part-of-speech
  • part-of-speech tags
  • penn treebank
  • phrase
  • pp attachment
  • precision
  • probability
  • probability distribution
  • process
  • projection
  • relative error reduction
  • reordering
  • sentence
  • sentence level
  • sentences
  • tags
  • test material
  • test set
  • text
  • toolkit
  • training
  • training data
  • training set
  • translation model
  • translational equivalence
  • translations
  • treebank
  • trigram
  • trigram model
  • wall street journal corpus
  • word
  • word alignments
  • words
  • yasmet me package

Extracted Section Types:


This page last edited on 10 May 2017.

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