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
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Tree-to-string alignment template for statistical machine translation
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Scalable inference and training of context-rich syntactic translation models
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Robust sub-sentential alignment of phrase-structure trees
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Exploiting Parallel Treebanks to Improve Phrase-Based Statistical Machine Translation
CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
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
SPMT: statistical machine translation with syntactified target language phrases
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Two languages are better than one (for syntactic parsing)
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A non-contiguous tree sequence alignment-based model for statistical machine translation
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
Learning better rule extraction with translation span alignment
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Unsupervised sub-tree alignment for tree-to-tree translation
Journal of Artificial Intelligence Research
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We employ Maximum Entropy model to conduct sub-tree alignment between bilingual phrasal structure trees. Various lexical and structural knowledge is explored to measure the syntactic similarity across Chinese-English bilingual tree pairs. In the experiment, we evaluate the sub-tree alignment using both gold standard tree bank and the automatically parsed corpus with manually annotated sub-tree alignment. Compared with a heuristic similarity based method, the proposed method significantly improves the performance with only limited sub-tree aligned data. To examine its effectiveness for multilingual applications, we further attempt different approaches to apply the sub-tree alignment in both phrase and syntax based SMT systems. We then compare the performance with that of the widely used word alignment. Experimental results on benchmark data show that sub-tree alignment benefits both systems by relaxing the constraint of the word alignment.