Publications
Authors:
  • Shachar Mirkin , Jean-Luc Meunier
Citation:
EMNLP, Lisboa, Portugal, September 17-21, 2015
Abstract:
Machine Translation (MT) has advanced in re-
cent years to produce better translations for
clients’ specific domains, and sophisticated
tools allow professional translators to obtain
translations according to their prior edits. We
suggest that MT should be further personal-
ized to the end-user level – the receiver or the
author of the text – as done in other applica-
tions. As a step in that direction, we propose a
method based on a recommender systems ap-
proach where the user’s preferred translation
is predicted based on preferences of similar
users. In our experiments, this method outper-
forms a set of non-personalized methods, sug-
gesting that user preference information can be
employed to provide better-suited translations for each user.
Year:
2015
Report number:
2015/041
Attachments: