Regression and Ranking based Optimisation for Sentence Level MT Evaluation

No abstract is available for this paper.

• Publication year

  2011

• Venue

  Unknown venue

• Publication date

  2011-07-30

• Fields of study

  Computer Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation

  2010cited by this paper
• Combining Confidence Estimation and Reference-based Metrics for Segment-level MT Evaluation

  2010cited by this paper
• Findings of the 2009 Workshop on Statistical Machine Translation

  2009cited by this paper
• Decomposability of Translation Metrics for Improved Evaluation and Efficient Algorithms

  2008cited by this paper
• Proceedings of the Third Workshop on Statistical Machine Translation (StatMT '08)

  2008influential reference
• Ranking vs. Regression in Machine Translation Evaluation

  2008cited by this paper
• Online Large-Margin Training of Syntactic and Structural Translation Features

  2008cited by this paper
• Further Meta-Evaluation of Machine Translation

  2008influential reference
• Regression for machine translation evaluation at the sentence level

  2008cited by this paper
• (Meta-) Evaluation of Machine Translation

  2007cited by this paper
• NLTK: The Natural Language Toolkit

  2006cited by this paper
• METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments

  2005influential reference
• A STUDY OF TRANSLATION ERROR RATE WITH TARGETED HUMAN ANNOTATION

  2005cited by this paper
• A tutorial on support vector regression

  2004cited by this paper
• ORANGE: a Method for Evaluating Automatic Evaluation Metrics for Machine Translation

  2004cited by this paper
• Training a Sentence-Level Machine Translation Confidence Measure

  2004cited by this paper
• Automatic Evaluation of Machine Translation Quality Using N-gram Co-Occurrence Statistics

  2002influential reference
• Bleu: a Method for Automatic Evaluation of Machine Translation

  2002cited by this paper
• Automatic evaluation of machine translation quality using n-gram co-occurrence statistics

  2002cited by this paper
• Optimizing search engines using clickthrough data

  2002cited by this paper
• NLTK: The Natural Language Toolkit

  2002cited by this paper
• A Machine Learning Approach to the Automatic Evaluation of Machine Translation

  2001influential reference
• Advances in kernel methods: support vector learning

  1999cited by this paper
• Making large scale SVM learning practical

  1998cited by this paper

• MT-Ranker: Reference-free machine translation evaluation by inter-system ranking

  2024cites this paper
• Evaluating Generative Ad Hoc Information Retrieval

  2023cites this paper
• Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation

  2019cites this paper
• Optimizing Automatic Evaluation of Machine Translation with the ListMLE Approach

  2018cites this paper
• Machine Translation Evaluation with Neural Networks

  2017cites this paper
• LEPOR: An Augmented Machine Translation Evaluation Metric

  2017influential citation
• Permutation forests for modeling word order in machine translation

  2017cites this paper
• Assessing Query Translation Quality Using Back Translation in Hindi-English CLIR

  2017cites this paper
• Training machine translation for human acceptability

  2016influential citation
• Machine Translation Evaluation Resources and Methods: A Survey.

  2016cites this paper
• Automatic Machine Translation Evaluation: A Qualitative Approach

  2015cites this paper
• Evaluation of Performance Metric of Automatic Machine Translation

  2015cites this paper
• Pairwise Neural Machine Translation Evaluation

  2015cites this paper
• BEER: BEtter Evaluation as Ranking

  2014cites this paper
• Learning to Differentiate Better from Worse Translations

  2014cites this paper
• Efficient Elicitation of Annotations for Human Evaluation of Machine Translation

  2014cites this paper
• Automatic Machine Translation Evaluation with Part-of-Speech Information

  2013influential citation
• MEANT at WMT 2013: A Tunable, Accurate yet Inexpensive Semantic Frame Based MT Evaluation Metric

  2013cites this paper
• BLEU Deconstructed: Designing a Better MT Evaluation Metric

  2013cites this paper
• Language-independent Model for Machine Translation Evaluation with Reinforced Factors

  2013cites this paper
• ELEXR: Automatic Evaluation of Machine Translation Using Lexical Relationships

  2013cites this paper
• Findings of the 2012 Workshop on Statistical Machine Translation

  2012cites this paper
• Findings of the 2011 Workshop on Statistical Machine Translation

  2011cites this paper