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Marian: Fast neural machine translation in c++
Authors:
- Marcin Junczys-Dowmunt,
- Roman Grundkiewicz,
- Tomasz Dwojak,
- Hieu Hoang Kenneth Heafield,
- Tom Neckermann,
- Frank Seide,
- Ulrich Germann,
- Alham Fikri Aji,
- Nikolay Bogoychev,
- André F.T. Martins,
- Alexandra Birch
Abstract
We present Marian, an efficient and selfcontained Neural Machine Translation framework with an integrated automatic differentiation engine based on dynamic computation graphs. Marian is written entirely in C++. We describe the design of the encoder-decoder framework and demonstrate that a research-friendly toolkit can achieve high training and translation speed.
- Record ID
- UAM3ee3d908e0244a41aaf391882e8ffbbb
- Author
- Journal series
- ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of System Demonstrations
- Issue year
- 2015
- Pages
- 116-121
- Language
- (en) English
- Score (nominal)
- 0
- Score source
- journalList
- Score
- Publication indicators
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- Uniform Resource Identifier
- https://researchportal.amu.edu.pl/info/article/UAM3ee3d908e0244a41aaf391882e8ffbbb/
- URN
urn:amu-prod:UAM3ee3d908e0244a41aaf391882e8ffbbb
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