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Efficient Embedded Decoding of Neural Network Language Models in a Machine Translation System

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Efficient Embedded Decoding of Neural Network Language Models in a Machine Translation System

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Zamora Martínez, FJ.; Castro-Bleda, MJ. (2018). Efficient Embedded Decoding of Neural Network Language Models in a Machine Translation System. International Journal of Neural Systems. 28(9). https://doi.org/10.1142/S0129065718500077

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/123535

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Title: Efficient Embedded Decoding of Neural Network Language Models in a Machine Translation System
Author: Zamora Martínez, Francisco Julián Castro-Bleda, Maria Jose
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] Neural Network Language Models (NNLMs) are a successful approach to Natural Language Processing tasks, such as Machine Translation. We introduce in this work a Statistical Machine Translation (SMT) system which fully ...[+]
Subjects: Neural networks , Language modeling , Machine translation , Statistical machine translation , Embedded decoding
Copyrigths: Reserva de todos los derechos
Source:
International Journal of Neural Systems. (issn: 0129-0657 )
DOI: 10.1142/S0129065718500077
Publisher:
World Scientific
Publisher version: http://doi.org/10.1142/S0129065718500077
Project ID:
AEI/TIN2017-85854-C4-2-R-AR
Thanks:
This work was partially supported by the Spanish MINECO and FEDER found under project TIN2017-85854-C4-2-R.
Type: Artículo

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