Papers with integrated automatic differentiation engine
Marian: Fast Neural Machine Translation in C++ (P18-4)
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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
| Challenge: | In this paper, we present Marian, an efficient and self-contained Neural Machine Translation framework . Marian is written in pure C++ with minimal dependencies . |
| Approach: | They present Marian, an efficient and self-contained Neural Machine Translation framework written in pure C++ with minimal dependencies. |
| Outcome: | The proposed framework achieves high training and translation speed with minimal dependencies . it is currently being deployed in multiple European projects . |