Regular models of phonological rule systems
Computational Linguistics - Special issue on computational phonology
Speech Communication - Special issue on interactive voice technology for telecommunication applications (IVITA '96)
Text speech translation by means of subsequential transducers
Extended finite state models of language
Finite state transducers: parsing free and frozen sentences
Extended finite state models of language
Practical experiments with regular approximation of context-free languages
Computational Linguistics - Special issue on finite-state methods in NLP
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Stochastic inversion transduction grammars and bilingual parsing of parallel corpora
Computational Linguistics
Supertagging: an approach to almost parsing
Computational Linguistics
Stochastic finite-state models for spoken language machine translation
NAACL-ANLP-EMTS '00 Proceedings of the 2000 NAACL-ANLP Workshop on Embedded machine translation systems - Volume 5
Classification Approach to Word Selection in Machine Translation
AMTA '02 Proceedings of the 5th Conference of the Association for Machine Translation in the Americas on Machine Translation: From Research to Real Users
Stochastic Finite-State Models for Spoken Language MachineTranslation
Machine Translation
Probabilistic Finite-State Machines-Part II
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic Finite-State Machines-Part I
IEEE Transactions on Pattern Analysis and Machine Intelligence
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Machine Translation with Inferred Stochastic Finite-State Transducers
Computational Linguistics
Approximating context-free by rational transduction for example-based MT
DMMT '01 Proceedings of the workshop on Data-driven methods in machine translation - Volume 14
Architectures for speech-to-speech translation using finite-state models
S2S '02 Proceedings of the ACL-02 workshop on Speech-to-speech translation: algorithms and systems - Volume 7
A weighted finite state transducer translation template model for statistical machine translation
Natural Language Engineering
Generating the translation equivalent of agentive nouns using two-level morphology
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
Joining linguistic and statistical methods for Spanish-to-Basque speech translation
Speech Communication
Hierarchical phrase-based translation with weighted finite state transducers
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Word graphs for statistical machine translation
ParaText '05 Proceedings of the ACL Workshop on Building and Using Parallel Texts
Speech to speech translation for medical triage in Korean
MST '06 Proceedings of the Workshop on Medical Speech Translation
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The problem of machine translation can be viewed as consisting of two subproblems (a) Lexical Selection and (b) Lexical Reordering. We propose stochastic finite-state models for these two subproblems in this paper. Stochastic finite-state models are efficiently learnable from data, effective for decoding and are associated with a calculus for composing models which allows for tight integration of constraints from various levels of language processing. We present a method for learning stochastic finite-state models for lexical choice and lexical reordering that are trained automatically from pairs of source and target utterances. We use this method to develop models for English-Japanese translation and present the performance of these models for translation on speech and text. We also evaluate the efficacy of such a translation model in the context of a call routing task of unconstrained speech utterances.