A statistical approach to machine translation
Computational Linguistics
Translating collocations for bilingual lexicons: a statistical approach
Computational Linguistics
A maximum entropy approach to natural language processing
Computational Linguistics
Inducing Features of Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical methods for speech recognition
Statistical methods for speech recognition
A program for aligning sentences in bilingual corpora
Computational Linguistics - Special issue on using large corpora: I
Computational Linguistics - Special issue on using large corpora: I
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
A DP based search using monotone alignments in statistical translation
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
Decoding algorithm in statistical machine translation
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 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
Improving statistical natural language translation with categories and rules
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Maximum entropy model learning of the translation rules
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Modeling with structures in statistical machine translation
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Aligning sentences in bilingual corpora using lexical information
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
An algorithm for finding noun phrase correspondences in bilingual corpora
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Structural matching of parallel texts
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
A polynomial-time algorithm for statistical machine translation
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
The Candide system for machine translation
HLT '94 Proceedings of the workshop on Human Language Technology
Selecting target word using contexonym comparison method
Proceedings of the 2007 conference on Human interface: Part I
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When aligning texts in very different languages such as Korean and English, structural features beyond word or phrase give useful information. In this paper, we present a method for selecting structural features of two languages, from which we construct a model that assigns the conditional probabilities to corresponding tag sequences in bilingual English-Korean corpora. For tag sequence mapping between two languages, we first define a structural feature function which represents statistical properties of empirical distribution of a set of training samples. The system, based on maximum entropy concept, selects only features that produce high increases in loglikelihood of training samples. These structurally mapped features are more informative knowledge for statistical machine translation between English and Korean. Also, the information can help to reduce the parameter space of statistical alignment by eliminating syntactically unlikely alignments.