In this paper we incorporate semantic supersensetags and syntactic supertag features into EN–FR and EN–DE factored
NMT systems. In experiments on various test sets, we observe that such features
(and particularly when combined) help the
NMT model training to converge faster
and improve the model quality according
to the BLEU scores.
This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:
Dublin City University Faculty of Engineering & Computing under the Daniel O’Hare Research Schol- 72 arship scheme, ADAPT Centre for Digital Content Technology which is funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded under the European Regional Development Fund.
ID Code:
23372
Deposited On:
28 May 2019 15:51 by
Thomas Murtagh
. Last Modified 06 Jul 2020 14:14