ACL RD-TEC 1.0 Summarization of P06-2101

Paper Title:
MINIMUM RISK ANNEALING FOR TRAINING LOG-LINEAR MODELS

Authors: David A. Smith and Jason Eisner

Other assigned terms:

  • alignment template
  • approach
  • association for computational linguistics
  • bleu
  • bleu metric
  • bleu score
  • bleu scores
  • brevity penalty
  • community
  • conditional probability
  • conll-x
  • convergence
  • corpora
  • development set
  • distribution
  • dutch
  • entropy
  • error rate
  • estimation
  • evaluation metrics
  • evaluation set
  • f-measure
  • feature
  • feature space
  • feature vector
  • french
  • gaussian prior
  • generative models
  • geometric mean
  • gold standard
  • hypotheses
  • hypothesis
  • hypothesis lattice
  • labeling
  • language pair
  • language pairs
  • large corpus
  • lattice
  • likelihood
  • linear combination
  • linguistics
  • local maxima
  • log-likelihood
  • log-linear combination
  • log-linear model
  • log-linear models
  • meaning
  • measures
  • method
  • model parameters
  • n-gram
  • natural language
  • opinion
  • parameter space
  • parse
  • part-of-speech
  • parts of speech
  • permutation
  • phrase
  • precision
  • probabilities
  • probability
  • probability distribution
  • probability estimates
  • procedure
  • process
  • random sample
  • reference translation
  • sentence
  • sentences
  • statistics
  • technique
  • term
  • test corpora
  • test corpus
  • test data
  • test set
  • theorem
  • tokens
  • training
  • training corpus
  • training criterion
  • training data
  • training examples
  • training set
  • transcripts
  • translations
  • trees
  • uniform distribution
  • unigram
  • word
  • word count
  • word error rate
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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