NMTSloth: understanding and testing efficiency degradation of neural machine translation systems
NMTSloth: understanding and testing efficiency degradation of neural machine translation systems
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DOI：
10.1145/3540250.3549102
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发表时间：
2022-10
期刊：
影响因子：
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通讯作者：
Simin Chen;Cong Liu;Mirazul Haque;Zihe Song;Wei Yang
中科院分区：
文献类型：
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作者：
Simin Chen;Cong Liu;Mirazul Haque;Zihe Song;Wei Yang
神经机器翻译（NMT）系统由于其人类水平的准确性而受到广泛关注。虽然现有的工作主要集中在提高精度或测试精度鲁棒性，但NMT系统的计算效率，
Neural Machine Translation (NMT) systems have received much recent attention due to their human-level accuracy. While existing works mostly focus on either improving accuracy or testing accuracy robustness, the computation efficiency of NMT systems, which