A statistical approach to machine translation
Computational Linguistics
A systematic comparison of various statistical alignment models
Computational Linguistics
HMM-based word alignment in statistical translation
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
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
Learning structured prediction models: a large margin approach
Learning structured prediction models: a large margin approach
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
An evaluation exercise for word alignment
HLT-NAACL-PARALLEL '03 Proceedings of the HLT-NAACL 2003 Workshop on Building and using parallel texts: data driven machine translation and beyond - Volume 3
A discriminative matching approach to word alignment
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
A discriminative framework for bilingual word alignment
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Improved discriminative bilingual word alignment
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Structured Prediction, Dual Extragradient and Bregman Projections
The Journal of Machine Learning Research
Measuring Word Alignment Quality for Statistical Machine Translation
Computational Linguistics
A new objective function for word alignment
ILP '09 Proceedings of the Workshop on Integer Linear Programming for Natural Langauge Processing
Database-text alignment via structured multilabel classification
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
SSST '07 Proceedings of the NAACL-HLT 2007/AMTA Workshop on Syntax and Structure in Statistical Translation
Discriminative word alignment via alignment matrix modeling
StatMT '08 Proceedings of the Third Workshop on Statistical Machine Translation
Concise integer linear programming formulations for dependency parsing
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Better word alignments with supervised ITG models
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Hierarchical search for word alignment
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Discriminative modeling of extraction sets for machine translation
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
MCTLLL '09 Proceedings of the Workshop on Natural Language Processing Methods and Corpora in Translation, Lexicography, and Language Learning
Computing optimal alignments for the IBM-3 translation model
CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Urdu and Hindi: translation and sharing of linguistic resources
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Discriminative word alignment by linear modeling
Computational Linguistics
Word alignment via submodular maximization over matroids
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Probabilistic word alignment under the L0-norm
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Semantic mapping using automatic word alignment and semantic role labeling
SSST-5 Proceedings of the Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation
Feature-rich language-independent syntax-based alignment for statistical machine translation
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Message-Passing Algorithms for Sparse Network Alignment
ACM Transactions on Knowledge Discovery from Data (TKDD)
Journal of Artificial Intelligence Research
SIGMa: simple greedy matching for aligning large knowledge bases
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
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Recently, discriminative word alignment methods have achieved state-of-the-art accuracies by extending the range of information sources that can be easily incorporated into aligners. The chief advantage of a discriminative framework is the ability to score alignments based on arbitrary features of the matching word tokens, including orthographic form, predictions of other models, lexical context and so on. However, the proposed bipartite matching model of Taskar et al. (2005), despite being tractable and effective, has two important limitations. First, it is limited by the restriction that words have fertility of at most one. More importantly, first order correlations between consecutive words cannot be directly captured by the model. In this work, we address these limitations by enriching the model form. We give estimation and inference algorithms for these enhancements. Our best model achieves a relative AER reduction of 25% over the basic matching formulation, outperforming intersected IBM Model 4 without using any overly compute-intensive features. By including predictions of other models as features, we achieve AER of 3.8 on the standard Hansards dataset.