Marian: Fast Neural Machine Translation in C++

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

arXiv · 1804.00344

Marian: Fast Neural Machine Translation in C++

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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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.

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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. 2018-04-01. Marian: Fast Neural Machine Translation in C++. https://arxiv.org/abs/1804.00344

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