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arXiv · 1706.00457

NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems

Ozan Caglayan·Mercedes García-Martínez·Adrien Bardet·Walid Aransa·Fethi Bougares·Loïc Barrault
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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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Ozan Caglayan, Mercedes García-Martínez, Adrien Bardet, Walid Aransa, Fethi Bougares, Loïc Barrault. 2017-06-01. NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems. https://doi.org/10.1515/pralin-2017-0035

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