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NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems
Caglayan Ozan
;
García-Martínez Mercedes
;
Bardet Adrien
;
Aransa Walid
;
Bougares Fethi
;
Barrault Loïc
In: Prague Bulletin of Mathematical Linguistics , Vol 109, Iss 1, Pp 15-28 (2017) (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.
Keyword:
Computational linguistics. Natural language processing
;
P98-98.5
URL:
https://doaj.org/article/718b4d8987474adfb74e46eaa976551b
https://doi.org/10.1515/pralin-2017-0035
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