Developing in-domain datasets for low-resource languages is crucial for improving machine translation models, as demonstrated by the gaHealth corpus for English-Irish health data.
In-domain health data corpus development for low-resource languages is crucial for improving machine translation models.
The author developed the gaHealth corpus to address the lack of parallel data for low-resource languages in the health domain, showcasing a significant improvement in translation models.