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
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
Automatic acquisition of hierarchical transduction models for machine translation
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Stochastic Finite-State Models for Spoken Language MachineTranslation
Machine Translation
Finite-state multimodal parsing and understanding
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Finite-state multimodal integration and understanding
Natural Language Engineering
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
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
Machine Translation with Inferred Stochastic Finite-State Transducers
Computational Linguistics
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
Statistical machine translation using coercive two-level syntactic transduction
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
FSA: an efficient and flexible C++ toolkit for finite state automata using on-demand computation
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Compiling boostexter rules into a finite-state transducer
ACLdemo '04 Proceedings of the ACL 2004 on Interactive poster and demonstration sessions
N-gram-based Machine Translation
Computational Linguistics
Robust understanding in multimodal interfaces
Computational Linguistics
A phrase-based context-dependent joint probability model for named entity translation
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Journal of the American Society for Information Science and Technology
| Hi-index | 0.02 |
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. In this paper, we present a method for stochastic finite-state machine translation that is trained automatically from pairs of source and target utterances. We use this method to develop models for English-Japanese and Japanese-English translation. We have embedded the Japanese-English translation system in a call routing task of unconstrained speech utterances. We evaluate the efficacy of the translation system in the context of this application.