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NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems
June 01, 2017 ยท Declared Dead ยท ๐ Prague Bulletin of Mathematical Linguistics
"No code URL or promise found in abstract"
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Authors
Ozan Caglayan, Mercedes Garcรญa-Martรญnez, Adrien Bardet, Walid Aransa, Fethi Bougares, Loรฏc Barrault
arXiv ID
1706.00457
Category
cs.CL: Computation & Language
Citations
65
Venue
Prague Bulletin of Mathematical Linguistics
Last Checked
4 months ago
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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