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May, 2022
机器翻译对自然无语义变化的鲁棒性
Machine Translation Robustness to Natural Asemantic Variation
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Jacob Bremerman, Xiang Ren, Jonathan May
TL;DR
通过引入自然非语义变化(NAV)概念并利用人工生成的变化对机器翻译进行微调,可提高机器翻译在困难输入(如噪声数据和边缘词语)下的性能,还发现NAV的鲁棒性可以跨语言进行转移,但合成扰动无法实现所有有机NAV数据的优点。
Abstract
We introduce and formalize an under-studied linguistic phenomenon we call
natural asemantic variation
(NAV) and investigate it in the context of
machine translation
(MT)
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