Journal of Global Optimization
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
Improving SMT quality with morpho-syntactic analysis
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Greedy decoding for statistical machine translation in almost linear time
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Statistical Machine Translation with Scarce Resources Using Morpho-syntactic Information
Computational Linguistics
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: In Search of Solutions (Springer Optimization and Its Applications)
Differential Evolution: In Search of Solutions (Springer Optimization and Its Applications)
Improving word alignment quality using morpho-syntactic information
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Improving statistical MT through morphological analysis
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Performance comparison of self-adaptive and adaptive differential evolution algorithms
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Hierarchical Adaptive Clustering
Informatica
Morphological analysis for statistical machine translation
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
English-to-Czech factored machine translation
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
Improving statistical word alignments with morpho-syntactic transformations
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
IEEE Transactions on Evolutionary Computation
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We address the problem of statistical machine translation from highly inflective language to less inflective one. The characteristics of inflective languages are generally not taken into account by the statistical machine translation system. Existing translation systems often treat different inflected word forms of the same lemma as if they were independent of each other, although some interdependencies exist. On the other hand we know that if we reduce inflected word forms to common lemmas, some information is lost. It would be reasonable to eliminate only the variations in inflected word forms, which are not relevant for translation. Inflectional features of words are defined by morpho-syntactic descriptions (MSD) tags and we want reduce them. To do this the explicit knowledge about both languages (source and target language) is needed. The idea of the paper is to find the information-bearing MSDs in source language by data-driven approach. The task is performed by a global optimization algorithm, named Differential Evolution. The experiments were performed using freely available parallel English-Slovenian corpus SVEZ-IJS, which is lemmatized and annotated with MSD tags. The results show a promising direction toward optimal subset of morpho-syntactic features.