📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Edinburgh's submissions to the 2020 machine translation efficiency task (2020)

First Author: Bogoychev N.

Abstract

No abstract provided

Bibliographic Information

Type: Other

Parent Publication: Proceedings of the Annual Meeting of the Association for Computational Linguistics

ISSN: 0736587X