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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 1 of 1 1 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 BASE Hide details

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