  Translation models for the specific domain of translating Covid data from
English to Irish were developed for the LoResMT 2021 shared task. Domain
adaptation techniques, using a Covid-adapted generic 55k corpus from the
Directorate General of Translation, were applied. Fine-tuning, mixed
fine-tuning and combined dataset approaches were compared with models trained
on an extended in-domain dataset. As part of this study, an English-Irish
dataset of Covid related data, from the Health and Education domains, was
developed. The highest-performing model used a Transformer architecture trained
with an extended in-domain Covid dataset. In the context of this study, we have
demonstrated that extending an 8k in-domain baseline dataset by just 5k lines
improved the BLEU score by 27 points.
