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
This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:
Department of Culture, Heritage and the Gaeltacht (DCHG), ADAPT Centre for Digital Content Technology, which is funded under the SFI Research Centres Programme (Grant 13/RC/2016) and is co-funded by the European Regional Development Fund.
ID Code:
23371
Deposited On:
28 May 2019 15:51 by
Thomas Murtagh
. Last Modified 22 Jan 2021 14:22