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Article Dans Une Revue The Prague Bulletin of Mathematical Linguistics Année : 2017

NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems

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Résumé

In this paper, we present nmtpy, a flexible Python toolkit based on Theano for training Neu-ral 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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Dates et versions

hal-01647873 , version 1 (11-01-2018)

Identifiants

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Ozan Caglayan, Mercedes Garcia-Martinez, Adrien Bardet, Walid Aransa, Fethi Bougares, et al.. NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems. The Prague Bulletin of Mathematical Linguistics, 2017, 109 (1), ⟨10.1515/pralin-2017-0035⟩. ⟨hal-01647873⟩
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