Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corpora
Surangika Ranathunga, Nisansa De Silva, Velayuthan Menan, Aloka Fernando, Charitha Rathnayake
Abstract
We conducted a detailed analysis on the quality of web-mined corpora for two low-resource languages (making three language pairs, English-Sinhala, English-Tamil and Sinhala-Tamil). We ranked each corpus according to a similarity measure and carried out an intrinsic and extrinsic evaluation on different portions of this ranked corpus. We show that there are significant quality differences between different portions of web-mined corpora and that the quality varies across languages and datasets. We also show that, for some web-mined datasets, Neural Machine Translation (NMT) models trained with their highest-ranked 25k portion can be on par with human-curated datasets.- Anthology ID:
- 2024.eacl-long.52
- Volume:
- Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
- Month:
- March
- Year:
- 2024
- Address:
- St. Julian’s, Malta
- Editors:
- Yvette Graham, Matthew Purver
- Venue:
- EACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 860–880
- Language:
- URL:
- https://aclanthology.org/2024.eacl-long.52
- DOI:
- Award:
- Low-Resource Paper Award
- Cite (ACL):
- Surangika Ranathunga, Nisansa De Silva, Velayuthan Menan, Aloka Fernando, and Charitha Rathnayake. 2024. Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corpora. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 860–880, St. Julian’s, Malta. Association for Computational Linguistics.
- Cite (Informal):
- Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corpora (Ranathunga et al., EACL 2024)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/2024.eacl-long.52.pdf