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
A Spoken Language System for Automated Call Routing
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
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
Automatic acquisition of hierarchical transduction models for machine translation
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
A finite-state approach to machine translation
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Language and Machines: Computers in Translation and Linguistics
Language and Machines: Computers in Translation and 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
Automated Natural Spoken Dialog
Computer
High-quality speech-to-speech translation for computer-aided language learning
ACM Transactions on Speech and Language Processing (TSLP)
Learning finite-state models for machine translation
Machine Learning
Computational Linguistics
ON THE STATISTICAL ESTIMATION OF STOCHASTIC FINITE-STATE TRANSDUCERS IN MACHINE TRANSLATION
Applied Artificial Intelligence
Joining linguistic and statistical methods for Spanish-to-Basque speech translation
Speech Communication
Two-Stage Hypotheses Generation for Spoken Language Translation
ACM Transactions on Asian Language Information Processing (TALIP)
Robust understanding in multimodal interfaces
Computational Linguistics
GREAT: open source software for statistical machine translation
Machine Translation
Stochastic K-TSS bi-languages for machine translation
FSMNLP '11 Proceedings of the 9th International Workshop on Finite State Methods and Natural Language Processing
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The problem of machine translation can be viewed as consisting of twosubproblems (a) lexical selection and (b) lexical reordering. In thispaper, we propose stochastic finite-state models for these two subproblems. Stochastic finite-state models are efficiently learnablefrom data, effective for decoding and are associated with a calculusfor composing models which allows for tight integration of constraintsfrom various levels of language processing. We present a method forlearning stochastic finite-state models for lexical selection andlexical reordering that are trained automatically from pairs of sourceand target utterances. We use this method to develop models forEnglish–Japanese and English–SPANISH 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.