The advent of Multilingual Language Models (MLLMs) and Large Language Models (LLMs)
has spawned innovation in many areas of natural language processing. Despite the exciting …

In this study, a human evaluation is carried out on how hyperparameter settings impact the
quality of Transformer-based Neural Machine Translation (NMT) for the low-resourced …

Medical knowledge may be targeted at a multitude of audiences, including researchers,
health professionals, patients and the general public. For many reasons, like in other …

With official status in both Ireland and the EU, there is a need for high-quality English-Irish
(EN-GA) machine translation (MT) systems which are suitable for use in a professional …

In the current machine translation (MT) landscape, the Transformer architecture stands out
as the gold standard, especially for high-resource language pairs. This research delves into …

The machine translation (MT) field seems to focus heavily on English and other high-
resource languages. Though, low-resource MT (LRMT) is receiving more attention than in …

Para a tradução automática baseada em corpus, seja estatística ou neuronal, são
necessários grandes volumes de traduções humanas entre duas línguas. Algumas línguas …

We present a neural machine translation (NMT) system for translating Spanish to Galician
(ES–GL). Galician is a low-to-medium resource language found in Spain. Our NMT system is …

This paper establishes an empirical evaluation of English–Galician and Spanish–Galician
machine translation in legal, health and general domains. The evaluation of the current MT …

This paper establishes an empirical evaluation of English–Galician and Spanish–Galician
machine translation in legal, health and general domains. The evaluation of the current MT …