Phrase-Based Statistical Machine Translation
KI '02 Proceedings of the 25th Annual German Conference on AI: Advances in Artificial Intelligence
Immediate-head parsing for language models
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Discriminative training and maximum entropy models for statistical machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
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
Factored language models and generalized parallel backoff
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
Statistical Machine Translation with Scarce Resources Using Morpho-syntactic Information
Computational Linguistics
Toward hierarchical models for statistical machine translation of inflected languages
DMMT '01 Proceedings of the workshop on Data-driven methods in machine translation - Volume 14
Statistical machine translation by parsing
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
A hierarchical phrase-based model for statistical machine translation
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Modelling lexical redundancy for machine translation
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
N-gram-based Machine Translation
Computational Linguistics
Improving statistical MT by coupling reordering and decoding
Machine Translation
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
Extending MARIE: an N-gram-based SMT decoder
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Arabic preprocessing schemes for statistical machine translation
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Wider context by using bilingual language models in machine translation
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
Continuous space translation models with neural networks
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 present an extension of n-gram-based translation models based on factored language models (FLMs). Translation units employed in the n-gram-based approach to statistical machine translation (SMT) are based on mappings of sequences of raw words, while translation model probabilities are estimated through standard language modeling of such bilingual units. Therefore, similar to other translation model approaches (phrase-based or hierarchical), the sparseness problem of the units being modeled leads to unreliable probability estimates, even under conditions where large bilingual corpora are available. In order to tackle this problem, we extend the n-gram-based approach to SMT by tightly integrating more general word representations, such as lemmas and morphological classes, and we use the flexible framework of FLMs to apply a number of different back-off techniques. In this work, we show that FLMs can also be successfully applied to translation modeling, yielding more robust probability estimates that integrate larger bilingual contexts during the translation process.