Mostrar el registro completo del ítem
Gonzalez Rubio, J.; Casacuberta Nolla, F. (2015). Improving the minimum description length inference of phrase-based translation models. En Pattern Recognition and Image Analysis: 7th Iberian Conference, IbPRIA 2015, Santiago de Compostela, Spain, June 17-19, 2015, Proceedings. Springer International Publishing. 219-227. https://doi.org/10.1007/978-3-319-19390-8 25
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/64367
Título: | Improving the minimum description length inference of phrase-based translation models | |
Autor: | Gonzalez Rubio, Jesus | |
Entidad UPV: |
|
|
Fecha difusión: |
|
|
Resumen: |
We study the application of minimum description length
(MDL) inference to estimate pattern recognition models for machine
translation. MDL is a theoretically-sound approach whose empirical
results are however below those ...[+]
|
|
Palabras clave: |
|
|
Derechos de uso: | Reserva de todos los derechos | |
ISBN: |
|
|
Fuente: |
|
|
DOI: |
|
|
Editorial: |
|
|
Versión del editor: | http://link.springer.com/chapter/10.1007/978-3-319-19390-8_25 | |
Serie: |
|
|
Código del Proyecto: |
|
|
Descripción: |
|
|
Agradecimientos: |
Work supported by the EU 7th Framework Programme (FP7/2007–2013) under the CasMaCat project (grant agreement no 287576), by Spanish MICINN under grant TIN2012-31723, and by the Generalitat Valenciana under grant ALMPR ...[+]
|
|
Tipo: |
|