IEEE Transactions on Pattern Analysis and Machine Intelligence
The EuTrans Spoken Language Translation System
Machine Translation
Learning Subsequential Transducers for Pattern Recognition Interpretation Tasks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improve the Learning of Subsequential Transducers by Using Alignments and Dictionaries
ICGI '00 Proceedings of the 5th International Colloquium on Grammatical Inference: Algorithms and Applications
Inference of Finite-State Transducers by Using Regular Grammars and Morphisms
ICGI '00 Proceedings of the 5th International Colloquium on Grammatical Inference: Algorithms and Applications
ICG! '96 Proceedings of the 3rd International Colloquium on Grammatical Inference: Learning Syntax from Sentences
Computational Complexity of Problems on Probabilistic Grammars and Transducers
ICGI '00 Proceedings of the 5th International Colloquium on Grammatical Inference: Algorithms and Applications
Finite-State Speech-to-Speech Translation
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 1 - Volume 1
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Finite-state transducers in language and speech processing
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
Improved statistical alignment models
ACL '00 Proceedings of the 38th Annual Meeting on Association for 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
Inference of finite-state transducers from regular languages
Pattern Recognition
Probabilistic Finite-State Machines-Part II
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning finite-state models for machine translation
Machine Learning
N-gram-based Machine Translation
Computational Linguistics
Statistical phrase-based models for interactive computer-assisted translation
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Inference of Stochastic Finite-State Transducers Using N-Gram Mixtures
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
ON THE STATISTICAL ESTIMATION OF STOCHASTIC FINITE-STATE TRANSDUCERS IN MACHINE TRANSLATION
Applied Artificial Intelligence
Speech to sign language translation system for Spanish
Speech Communication
Joining linguistic and statistical methods for Spanish-to-Basque speech translation
Speech Communication
On the impact of morphology in English to Spanish statistical MT
Speech Communication
Efficient Pruning of Probabilistic Automata
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Statistical approaches to computer-assisted translation
Computational Linguistics
Dependency-Based Chinese-English Statistical Machine Translation
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Human interaction for high-quality machine translation
Communications of the ACM - A View of Parallel Computing
An integrated architecture for speech-input multi-target machine translation
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Speech-input multi-target machine translation
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
Meta-structure transformation model for statistical machine translation
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
LIMSI's statistical translation systems for WMT'09
StatMT '09 Proceedings of the Fourth Workshop on Statistical Machine Translation
Novel reordering approaches in phrase-based statistical machine translation
ParaText '05 Proceedings of the ACL Workshop on Building and Using Parallel Texts
CLAGI '09 Proceedings of the EACL 2009 Workshop on Computational Linguistic Aspects of Grammatical Inference
Spoken Spanish generation from sign language
Interacting with Computers
Learning finite state transducers using bilingual phrases
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
LIMSI's statistical translation systems for WMT'10
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
Language Resources and Evaluation
GREAT: open source software for statistical machine translation
Machine Translation
Towards the improvement of statistical translation models using linguistic features
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
Automatic categorization for improving Spanish into Spanish Sign Language machine translation
Computer Speech and Language
Automatic segmentation of bilingual corpora: a comparison of different techniques
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Wider context by using bilingual language models in machine translation
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
Joint WMT submission of the QUAERO project
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
From n-gram-based to CRF-based translation models
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
Source language categorization for improving a speech into sign language translation system
SLPAT '11 Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies
Hierarchical finite-state models for speech translation using categorization of phrases
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Stochastic K-TSS bi-languages for machine translation
FSMNLP '11 Proceedings of the 9th International Workshop on Finite State Methods and Natural Language Processing
A monotonic statistical machine translation approach to speaking style transformation
Computer Speech and Language
Continuous space translation models with neural networks
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Generalized biwords for bitext compression and translation spotting
Journal of Artificial Intelligence Research
Cross-lingual language modeling with syntactic reordering for low-resource speech recognition
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Joint WMT 2012 submission of the QUAERO project
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
Generalized biwords for bitext compression and translation spotting: extended abstract
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
A rule-based translation from written Spanish to Spanish Sign Language glosses
Computer Speech and Language
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Finite-state transducers are models that are being used in different areas of pattern recognition and computational linguistics. One of these areas is machine translation, in which the approaches that are based on building models automatically from training examples are becoming more and more attractive. Finite-state transducers are very adequate for use in constrained tasks in which training samples of pairs of sentences are available. A technique for inferring finite-state transducers is proposed in this article. This technique is based on formal relations between finite-state transducers and rational grammars. Given a training corpus of source-target pairs of sentences, the proposed approach uses statistical alignment methods to produce a set of conventional strings from which a stochastic rational grammar (e.g., an n -gram) is inferred. This grammar is finally converted into a finite-state transducer. The proposed methods are assessed through a series of machine translation experiments within the framework of the EuTrans project.