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NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning

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NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning

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Peris-Abril, Á.; Casacuberta Nolla, F. (2018). NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning. The Prague Bulletin of Mathematical Linguistics. 111:113-124. https://doi.org/10.2478/pralin-2018-0010

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/145118

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Title: NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning
Author: Peris-Abril, Álvaro Casacuberta Nolla, Francisco
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] We present NMT-Keras, a flexible toolkit for training deep learning models, which puts a particular emphasis on the development of advanced applications of neural machine translation systems, such as interactive-predictive ...[+]
Subjects: Neural Machine Translation
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
The Prague Bulletin of Mathematical Linguistics. (issn: 0032-6585 )
DOI: 10.2478/pralin-2018-0010
Publisher:
Univerzita Karlova
Publisher version: https://doi.org/10.2478/pralin-2018-0010
Project ID:
GV/PROMETEO/2018/004
MINISTERIO DE ECONOMIA Y EMPRESA/TIN2015-70924-C2-1-R
Thanks:
Much of our Keras fork and the Multimodal Keras Wrapper libraries were developed together with Marc Bolaños. We also acknowledge the rest of contributors to these open-source projects. The research leading this work received ...[+]
Type: Artículo

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