Constructing Parallel Corpora from COVID-19 News using MediSys Metadata
Dimitrios Roussis, Vassilis Papavassiliou, Sokratis Sofianopoulos, Prokopis Prokopidis, Stelios Piperidis
Abstract
This paper presents a collection of parallel corpora generated by exploiting the COVID-19 related dataset of metadata created with the Europe Media Monitor (EMM) / Medical Information System (MediSys) processing chain of news articles. We describe how we constructed comparable monolingual corpora of news articles related to the current pandemic and used them to mine about 11.2 million segment alignments in 26 EN-X language pairs, covering most official EU languages plus Albanian, Arabic, Icelandic, Macedonian, and Norwegian. Subsets of this collection have been used in shared tasks (e.g. Multilingual Semantic Search, Machine Translation) aimed at accelerating the creation of resources and tools needed to facilitate access to information in the COVID-19 emergency situation.- Anthology ID:
- 2022.lrec-1.115
- Volume:
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 1068–1072
- Language:
- URL:
- https://aclanthology.org/2022.lrec-1.115
- DOI:
- Cite (ACL):
- Dimitrios Roussis, Vassilis Papavassiliou, Sokratis Sofianopoulos, Prokopis Prokopidis, and Stelios Piperidis. 2022. Constructing Parallel Corpora from COVID-19 News using MediSys Metadata. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 1068–1072, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Constructing Parallel Corpora from COVID-19 News using MediSys Metadata (Roussis et al., LREC 2022)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/2022.lrec-1.115.pdf