An integrated architecture for speech-input multi-target machine translation

Authors:
Alicia Pérez;M. Inés Torres;M. Teresa González;Francisco Casacuberta
Affiliations:
University of the Basque Country;University of the Basque Country;University of Valencia;University of Valencia
Venue:
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Year:
2007

Citing 2
Cited 0

The mathematics of statistical machine translation: parameter estimation

Computational Linguistics - Special issue on using large corpora: II
Machine Translation with Inferred Stochastic Finite-State Transducers

Computational Linguistics

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Abstract

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.