Maria-Teresa González

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Finite-state transducers are very useful models in different areas of pattern recognition, natural language processing, and machine translation. Two methods for inferring a finite-state transducer that accept a source sentence and produce several targets are proposed in this article. Transducers of this kind are called multiple finite-state transducers. In(More)
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(More)
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(More)
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