Popović, Maja 
ORCID: 0000-0001-8234-8745
(2020)
QRev: Machine translation of user reviews: what influences the translation quality?
In: 22nd Annual Conference of the European Association for Machine Translation (EAMT 2020), 3 -5 Nov 2020, Lisbon, Portugal (Online).
Abstract
This project aims to identify the important aspects of translation quality of user reviews which will represent a starting point for developing better automatic MT metrics and challenge test sets, and will be also helpful for developing MT systems for this genre. We work on two types of reviews: Amazon products and IMDb movies, written in English and translated into two closely related target languages, Croatian and Serbian.
Metadata
| Item Type: | Conference or Workshop Item (Other) |
|---|---|
| Event Type: | Conference |
| Refereed: | Yes |
| Subjects: | Computer Science > Computational linguistics Computer Science > Machine translating |
| DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Initiatives and Centres > ADAPT |
| Published in: | Proceedings of the 22nd Annual Conference of the European Association for Machine Translation. . European Association for Machine Translation (EAMT). |
| Publisher: | European Association for Machine Translation (EAMT) |
| Official URL: | https://www.aclweb.org/anthology/2020.eamt-1.52.pd... |
| Copyright Information: | © 2020 The Author. CC-BY-ND-4.0 |
| Funders: | European Association for Machine Translation under its programme “2019 Sponsorship of Activities” at ADAPT, Dublin City University, ADAPT SFI Centre for Digital Media Technology is funded by Science Foundation Ireland through the SFI Research Centres Programme and is co-funded under the European Regional Development Fund (ERDF) through Grant 13/RC/2106 |
| ID Code: | 24684 |
| Deposited On: | 08 Sep 2020 15:36 by Maja Popovic . Last Modified 14 Feb 2022 16:20 |
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