Title
Towards Readability-Controlled Machine Translation of COVID-19 Texts
Date Issued
01 January 2022
Access level
open access
Resource Type
conference paper
Author(s)
Shardlow M.
Publisher(s)
European Association for Machine Translation
Abstract
This project investigates the capabilities of machine translation (MT) models for generating translations at varying levels of readability, focusing on texts about COVID-19. Funded by the European Association for Machine Translation and by the Centre for Advanced Computational Sciences at Manchester Metropolitan University, we collected manual simplifications for English and Spanish texts in the TICO-19 dataset, and assessed the performance of neural MT models in this new benchmark. Future work will implement models that jointly translate and simplify, and develop suitable evaluation metrics.
Start page
287
End page
288
Language
English
OCDE Knowledge area
Ciencias de la computación
Subjects
Scopus EID
2-s2.0-85137740041
ISBN
9789464597622
Source
EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
Resource of which it is part
EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
Conference
23rd Annual Conference of the European Association for Machine Translation, EAMT 2022
Sources of information:
Directorio de Producción Científica
Scopus