0000000000862889

AUTHOR

Alicia Pérez

showing 3 related works from this author

Speech-input multi-target machine translation

2007

In order to simultaneously translate speech into multiple languages an extension of stochastic finite-state transducers is proposed. In this approach the speech translation model consists of a single network where acoustic models (in the input) and the multilingual model (in the output) are embedded. The multi-target model has been evaluated in a practical situation, and the results have been compared with those obtained using several mono-target models. Experimental results show that the multi-target one requires less amount of memory. In addition, a single decoding is enough to get the speech translated into multiple languages.

Multi targetMachine translationComputer Science::SoundComputer scienceSpeech translationSpeech recognitionSpeech inputComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Extension (predicate logic)computer.software_genrecomputerDecoding methodsProceedings of the Second Workshop on Statistical Machine Translation - StatMT '07
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An integrated architecture for speech-input multi-target machine translation

2007

The aim of this work is to show the ability of finite-state transducers to simultaneously translate speech into multiple languages. Our proposal deals with an extension of stochastic finite-state transducers that can produce more than one output at the same time. These kind of devices offer great versatility for the integration with other finite-state devices such as acoustic models in order to produce a speech translation system. This proposal has been evaluated in a practical situation, and its results have been compared with those obtained using a standard mono-target speech transducer.

Multi targetIntegrated architectureMachine translationComputer Science::SoundComputer scienceSpeech translationSpeech recognitionSpeech inputComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Extension (predicate logic)computer.software_genrecomputerHuman Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers on XX - NAACL '07
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cDNA Cloning and Functional Expression of Jerdostatin, a Novel RTS-disintegrin from Trimeresurus jerdonii and a Specific Antagonist of the α1β1 Integ…

2005

Jerdostatin represents a novel RTS-containing short disintegrin cloned by reverse transcriptase-PCR from the venom gland mRNA of the Chinese Jerdons pit viper Trimeresurus jerdonii. The jerdostatins precursor cDNA contained a 333-bp open reading frame encoding a signal peptide, a pre-peptide, and a 43-amino acid disintegrin domain, whose amino acid sequence displayed 80% identity with that of the KTS-disintegrins obtustatin and viperistatin. The jerdostatin cDNA structure represents the first complete open reading frame of a short disintegrin and points to the emergence of jerdostatin from a short-coding gene. The different residues between jerdostatin and obtustatin/viperistatin are segreg…

Models MolecularSignal peptideProtein FoldingDNA ComplementaryMagnetic Resonance SpectroscopyProtein ConformationDisintegrinsMolecular Sequence DataIntegrinMutantGene ExpressionPeptide MappingBiochemistryIntegrin alpha1beta1Open Reading FramesExocrine GlandsComplementary DNACrotalid VenomsDisintegrinAnimalsTrimeresurusTrypsinAmino Acid SequenceCysteineDisulfidesCloning MolecularMolecular BiologyPeptide sequenceMessenger RNABase SequencebiologyCell BiologyMolecular biologyRecombinant ProteinsOpen reading frameMutagenesis Site-Directedbiology.proteinJournal of Biological Chemistry
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