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

Hongfei Xu; Qiuhui Liu

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

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arxiv 1903.07402 v2 pith:PM3MMOYA submitted 2019-03-18 cs.CL

Hongfei Xu , Qiuhui Liu This is my paper · ORCID

classification cs.CL

keywords modeltransformerneutronperformanceprovidestranslationvariantsbetter

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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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UdS Submission for the WMT 19 Automatic Post-Editing Task
cs.CL 2019-08 conditional novelty 4.0 of 10

A multi-source transformer with adaptive embedding-noise de-noising achieves small BLEU improvements over the do-nothing baseline on WMT19 English-German automatic post-editing.

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