Marian: Fast Neural Machine Translation in C++
2018-04-01ACL 2018Code Available0· sign in to hype
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
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- github.com/emjotde/amunmtnone★ 0
- github.com/pwc-1/Paper-9/tree/main/marianmindspore★ 0
Abstract
We present Marian, an efficient and self-contained 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.