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May, 2024
大规模多语言神经机器翻译的鲁棒性实证研究
An Empirical Study on the Robustness of Massively Multilingual Neural Machine Translation
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Supryadi, Leiyu Pan, Deyi Xiong
TL;DR
我们通过实证研究了印度尼西亚-汉语翻译在不同噪声环境下的翻译稳健性，并创建了一个用于评估翻译稳健性的基准数据集。
Abstract
massively multilingual neural machine translation
(MMNMT) has been proven to enhance the translation quality of
low-resource languages
. In this paper, we empirically investigate the
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