Identifying word correspondence in parallel texts
HLT '91 Proceedings of the workshop on Speech and Natural Language
DUSTer: A Method for Unraveling Cross-Language Divergences for Statistical Word-Level Alignment
AMTA '02 Proceedings of the 5th Conference of the Association for Machine Translation in the Americas on Machine Translation: From Research to Real Users
Learning dependency translation models as collections of finite-state head transducers
Computational Linguistics - Special issue on finite-state methods in NLP
Stochastic inversion transduction grammars and bilingual parsing of parallel corpora
Computational Linguistics
A word-to-word model of translational equivalence
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
A syntax-based statistical translation model
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Improved statistical alignment models
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Phrasal cohesion and statistical machine translation
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Rapid porting of DUSTer to Hindi
ACM Transactions on Asian Language Information Processing (TALIP)
Linguistic knowledge in statistical phrase-based word alignment
Natural Language Engineering
A path-based transfer model for machine translation
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Syntactic constraints on paraphrases extracted from parallel corpora
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Decoding optimization for Chinese-english machine translation via a dependent syntax language model
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
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We present a syntax-based constraint for word alignment, known as the cohesion constraint. It requires disjoint English phrases to be mapped to non-overlapping intervals in the French sentence. We evaluate the utility of this constraint in two different algorithms. The results show that it can provide a significant improvement in alignment quality.