A framework of a mechanical translation between Japanese and English by analogy principle
Proc. of the international NATO symposium on Artificial and human intelligence
A statistical approach to machine translation
Computational Linguistics
Review Article: Example-based Machine Translation
Machine Translation
A systematic comparison of various statistical alignment models
Computational Linguistics
An introduction to variable and feature selection
The Journal of Machine Learning Research
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Statistical phrase-based translation
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Minimum error rate training in statistical machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
A hierarchical phrase-based model for statistical machine translation
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Word-sense disambiguation for machine translation
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
N-gram-based Machine Translation
Computational Linguistics
Automatic evaluation of machine translation quality using n-gram co-occurrence statistics
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Moses: open source toolkit for statistical machine translation
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Proceedings of the Second Workshop on Statistical Machine Translation
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
Context-aware discriminative phrase selection for statistical machine translation
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
Regression for machine translation evaluation at the sentence level
Machine Translation
DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
Further meta-evaluation of machine translation
StatMT '08 Proceedings of the Third Workshop on Statistical Machine Translation
LIMSI's statistical translation systems for WMT'09
StatMT '09 Proceedings of the Fourth Workshop on Statistical Machine Translation
Feature-rich translation by quasi-synchronous lattice parsing
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Sub-sentential paraphrasing by contextual pivot translation
TextInfer '09 Proceedings of the 2009 Workshop on Applied Textual Inference
Bilingual sense similarity for statistical machine translation
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
A joint rule selection model for hierarchical phrase-based translation
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Decision trees for lexical smoothing in statistical machine translation
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
Example-based paraphrasing for improved phrase-based statistical machine translation
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Assessing phrase-based translation models with oracle decoding
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Learning phrase boundaries for hierarchical phrase-based translation
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
The CMU-EBMT machine translation system
Machine Translation
From n-gram-based to CRF-based translation models
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
Improving pronoun translation for statistical machine translation
EACL '12 Proceedings of the Student Research Workshop at the 13th Conference of the European Chapter of the Association for Computational Linguistics
Oracle decoding as a new way to analyze phrase-based machine translation
Machine Translation
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We explore the augmentation of statistical machine translation models with features of the context of each phrase to be translated. This work extends several existing threads of research in statistical MT, including the use of context in example-based machine translation (Carl and Way, 2003) and the incorporation of word sense disambiguation into a translation model (Chan et al., 2007). The context features we consider use surrounding words and part-of-speech tags, local syntactic structure, and other properties of the source language sentence to help predict each phrase's translation. Our approach requires very little computation beyond the standard phrase extraction algorithm and scales well to large data scenarios. We report significant improvements in automatic evaluation scores for Chinese-to-English and English-to-German translation, and also describe our entry in the WMT-08 shared task based on this approach.