[HTML][HTML] Adopting machine translation in the healthcare sector: A methodological multi-criteria review

M Zappatore, G Ruggieri - Computer Speech & Language, 2023 - Elsevier
Background: The recent advances in machine translation (MT) offer an appealing and low-
cost solution to overcome language barriers in multiple contexts (eg, travelling, cultural …

Findings of the Covid-19 MLIA Machine Translation Task

F Casacuberta, A Ceausu, K Choukri… - arXiv preprint arXiv …, 2022 - arxiv.org
This work presents the results of the machine translation (MT) task from the Covid-19 MLIA@
Eval initiative, a community effort to improve the generation of MT systems focused on the …

The ARC-NKUA submission for the English-Ukrainian General Machine Translation Shared Task at WMT22

D Roussis, V Papavassiliou - Proceedings of the Seventh …, 2022 - aclanthology.org
Abstract The ARC-NKUA (“Athena” Research Center-National and Kapodistrian University
of Athens) submission to the WMT22 General Machine Translation shared task concerns the …

COVID-19 Corpora

A Moreno-Ortiz - Making Sense of Large Social Media Corpora …, 2024 - Springer
The COVID-19 pandemic has had a profound effect on all aspects of society. As a
component of this society, the academic and scientific community is not an exception …

[PDF][PDF] Building End-to-End Neural Machine Translation Systems for Crisis Scenarios: The Case of COVID-19

DG Roussis - 2022 - core.ac.uk
Machine Translation is a crucial task of Natural Language Processing, as it aims to provide a
fast and automatic way of translating various types of texts. In recent years, the emergence of …