Neutron: An Implementation of the Transformer Translation Model and its Variants

March 18, 2019 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Hongfei Xu, Qiuhui Liu arXiv ID 1903.07402 Category cs.CL: Computation & Language Citations 19 Venue arXiv.org Last Checked 4 months ago
Abstract
The Transformer translation model is easier to parallelize and provides better performance compared to recurrent seq2seq models, which makes it popular among industry and research community. We implement the Neutron in this work, including the Transformer model and its several variants from most recent researches. It is highly optimized, easy to modify and provides comparable performance with interesting features while keeping readability.
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