Blen Gebremeskel

Viability of Machine Translation for Healthcare in Low-Resourced Languages

Machine Translation errors in high-stakes settings like healthcare pose unique risks that could lead to clinical harm. The challenges are even more pronounced for low-resourced languages where human translators are scarce and MT tools perform poorly. In this work, we provide a taxonomy of Machine Tr