[PDF][PDF] Nmtpy: A flexible toolkit for advanced neural machine translation systems
O Caglayan, M García-Martínez… - The Prague Bulletin …, 2017 - archive.sciendo.com
The Prague Bulletin of Mathematical Linguistics, 2017•archive.sciendo.com
In this paper, we present nmtpy, a flexible Python toolkit based on Theano for training Neural
Machine Translation and other neural sequence-to-sequence architectures. nmtpy
decouples the specification of a network from the training and inference utilities to simplify
the addition of a new architecture and reduce the amount of boilerplate code to be written.
nmtpy has been used for LIUM's top-ranked submissions to WMT Multimodal Machine
Translation and News Translation tasks in 2016 and 2017.
Machine Translation and other neural sequence-to-sequence architectures. nmtpy
decouples the specification of a network from the training and inference utilities to simplify
the addition of a new architecture and reduce the amount of boilerplate code to be written.
nmtpy has been used for LIUM's top-ranked submissions to WMT Multimodal Machine
Translation and News Translation tasks in 2016 and 2017.
Abstract
In this paper, we present nmtpy, a flexible Python toolkit based on Theano for training Neural Machine Translation and other neural sequence-to-sequence architectures. nmtpy decouples the specification of a network from the training and inference utilities to simplify the addition of a new architecture and reduce the amount of boilerplate code to be written. nmtpy has been used for LIUM’s top-ranked submissions to WMT Multimodal Machine Translation and News Translation tasks in 2016 and 2017.
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