Optimizing Non-Decomposable Evaluation Metrics for Neural Machine Translation

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Journal of Computational Science and Technology

• Publication date

  2017-07-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1007/s11390-017-1760-9
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Optimization for Statistical Machine Translation: A Survey

  2016cited by this paper
• Dual Learning for Machine Translation

  2016influential reference
• Minimum Risk Training for Neural Machine Translation

  2015cited by this paper
• RECURRENT NEURAL NETWORKS

  2015influential reference
• Neural Machine Translation by Jointly Learning to Align and Translate

  2014influential reference
• Addressing the Rare Word Problem in Neural Machine Translation

  2014influential reference
• On Using Very Large Target Vocabulary for Neural Machine Translation

  2014cited by this paper
• Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

  2014cited by this paper
• Online and Stochastic Gradient Methods for Non-decomposable Loss Functions

  2014cited by this paper
• Sequence to Sequence Learning with Neural Networks

  2014cited by this paper
• Learning Continuous Phrase Representations for Translation Modeling

  2014cited by this paper
• On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures

  2014cited by this paper
• Recurrent Continuous Translation Models

  2013cited by this paper
• Hope and Fear for Discriminative Training of Statistical Translation Models

  2012influential reference
• Maximum Expected BLEU Training of Phrase and Lexicon Translation Models

  2012cited by this paper
• Online Large-Margin Training of Syntactic and Structural Translation Features

  2008cited by this paper
• Online Large-Margin Training for Statistical Machine Translation

  2007influential reference
• Minimum Risk Annealing for Training Log-Linear Models

  2006cited by this paper
• A Hierarchical Phrase-Based Model for Statistical Machine Translation

  2005cited by this paper
• Statistical Significance Tests for Machine Translation Evaluation

  2004cited by this paper
• Minimum Error Rate Training in Statistical Machine Translation

  2003cited by this paper
• Bleu: a Method for Automatic Evaluation of Machine Translation

  2002cited by this paper
• Long Short-Term Memory

  1997cited by this paper
• Simple statistical gradient-following algorithms for connectionist reinforcement learning

  1992cited by this paper

• Soft Alignment Objectives for Robust Adaptation in Machine Translation

  2022cites this paper
• Soft Alignment Objectives for Robust Adaptation of Language Generation

  2022cites this paper
• On the Weaknesses or Reinforcement Learning for Neural Machine Translation

  2020cites this paper
• On the Weaknesses of Reinforcement Learning for Neural Machine Translation

  2019cites this paper