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The NiuTrans System for the WMT21 Efficiency Task

2021-09-16 14:21:52
Chenglong Wang, Chi Hu, Yongyu Mu, Zhongxiang Yan, Siming Wu, Minyi Hu, Hang Cao, Bei Li, Ye Lin, Tong Xiao, Jingbo Zhu
arXiv_CL
         
Abstract

This paper describes the NiuTrans system for the WMT21 translation efficiency task (this http URL). Following last year's work, we explore various techniques to improve efficiency while maintaining translation quality. We investigate the combinations of lightweight Transformer architectures and knowledge distillation strategies. Also, we improve the translation efficiency with graph optimization, low precision, dynamic batching, and parallel pre/post-processing. Our system can translate 247,000 words per second on an NVIDIA A100, being 3$\times$ faster than last year's system. Our system is the fastest and has the lowest memory consumption on the GPU-throughput track. The code, model, and pipeline will be available at NiuTrans.NMT (this https URL).

Abstract (translated)

URL

https://arxiv.org/abs/2109.08003

PDF

https://arxiv.org/pdf/2109.08003.pdf

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