In this paper, we provide a preliminary comparison of statistical machine translation (SMT)
and neural machine translation (NMT) for English→Irish in the fixed domain of public administration. We discuss the challenges for SMT and NMT of a less-resourced language such
as Irish, and show that while an out-of-the-box NMT system may not fare quite as well as
our tailor-made domain-specific SMT system, the future may still be promising for EN→GA
NMT.