Numerical Recipes in C++: the art of scientific computing
Numerical Recipes in C++: the art of scientific computing
A systematic comparison of various statistical alignment models
Computational Linguistics
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
A syntax-based statistical translation model
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Precision and recall of machine translation
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
Loosely tree-based alignment for machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Filtering-Ranking Perceptron Learning for Partial Parsing
Machine Learning
Statistical machine translation using coercive two-level syntactic transduction
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Clause restructuring for statistical machine translation
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Combining linguistic data views for phrase-based SMT
ParaText '05 Proceedings of the ACL Workshop on Building and Using Parallel Texts
Manual and automatic evaluation of machine translation between European languages
StatMT '06 Proceedings of the Workshop on Statistical Machine Translation
Short communication: A SomAgent statistical machine translation
Applied Soft Computing
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We describe the LDV-COMBO system presented at the Shared Task. Our approach explores the possibility of working with alignments at different levels of abstraction using different degrees of linguistic analysis from the lexical to the shallow syntactic level. Translation models are built on top of combinations of these alignments. We present results for the Spanish-to-English and English-to-Spanish tasks. We show that liniguistic information may be helpful, specially when the target language has a rich morphology.