2022
Machine Translation Robustness to Natural Asemantic Variation
EMNLP 2022main
Current Machine Translation (MT) models still struggle with more challenging input, such as noisy data and tail-end words and phrases. Several works have addressed this robustness issue by identifying specific categories of noise and variation then tuning models to perform better on them. An importa…