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 monotarget speech transducer.
Cite
CITATION STYLE
Pérez, A., Inés Torres, M., Teresa González, M., & Casacuberta, F. (2007). An integrated architecture for speech-input multi-target machine translation. In NAACL-HLT 2007 - Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Companion Volume: Short Papers (pp. 133–136). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1614108.1614142
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
