Making large-scale support vector machine learning practical
Advances in kernel methods
A systematic comparison of various statistical alignment models
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
Filtering-Ranking Perceptron Learning for Partial Parsing
Machine Learning
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
QARLA: a framework for the evaluation of text summarization systems
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Word sense disambiguation vs. statistical machine translation
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
A discriminative global training algorithm for statistical MT
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
An end-to-end discriminative approach to machine translation
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the 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
Combining linguistic data views for phrase-based SMT
ParaText '05 Proceedings of the ACL Workshop on Building and Using Parallel Texts
CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
Rich source-side context for statistical machine translation
StatMT '08 Proceedings of the Third Workshop on Statistical Machine Translation
The application of structured learning in natural language processing
Machine Translation
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
The Journal of Machine Learning Research
SMT versus AI redux: how semantic fames evaluate MT more accurately
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Encouraging consistent translation choices
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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In this work we revise the application of discriminative learning to the problem of phrase selection in Statistical Machine Translation. Inspired by common techniques used in Word Sense Disambiguation, we train classifiers based on local context to predict possible phrase translations. Our work extends that of Vickrey et al. (2005) in two main aspects. First, we move from word translation to phrase translation. Second, we move from the 'blank-filling' task to the 'full translation' task. We report results on a set of highly frequent source phrases, obtaining a significant improvement, specially with respect to adequacy, according to a rigorous process of manual evaluation.