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BITRA. BIBLIOGRAFÍA DE INTERPRETACIÓN Y TRADUCCIÓN

 
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Tema:   Automática.
Autor:   González Mollá, Jorge
Año:   2009
Título:   Aprendizaje de transductores estocásticos de estados finitos y su aplicación en traducción automática [Learning of stochastic finite-state transducers and their application in machine translation]
Lugar:   Valencia
https://riunet.upv.es/handle/10251/6289#
Editorial/Revista:   Universitat Politécnica de València
Páginas:   189
Idioma:   Español.
Tipo:   Tesis.
Disponibilidad:   Acceso abierto.
Índice:   1. Traducción automática estadística; 2. GIATI como metodología de aprendizaje; 3. Resultados experimentales con GIATI; 4. Morfología en traducción automática.
Resumen:   Machine translation is a sub-field of computational linguistics that investigates the use of computer software to translate text or speech from one natural language to another. In the last decades, there has been a major boost for the use of statistical techniques in the development of machine translation systems. In order to be able to apply these methods on a given language pair, a parallel corpus on those languages needs to be available. These techniques are so attractive because new systems are developed without the need for expert knowledge from linguistic experts. Finite state models have been very successful in multiple areas from natural language scientific research, machine translation included. Finite state models have some advantages with respect to other statistical models, such as their simple integration into speech recognition environments, their application to computer assisted translation systems, or their ability to process the information, which is not required to be complete, by means of a pipelined architecture that is based on the so popular assembly lines. The research goal is the study and exploitation of machine translation techniques which are based on finite state models. [Source: Author]
Agradecimientos:   Record supplied by the Departament de Traducció i Interpretació i Estudis de l'Àsia Oriental (Universitat Autònoma de Barcelona).
 
 
2001-2021 Universidad de Alicante DOI: 10.14198/bitra
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