Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corpora
<|reference_start|>Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corpora: 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.<|reference_end|>
@article{ranathunga2024quality,
    title={Quality Does Matter: A Detailed Look at the Quality and Utility of
  Web-Mined Parallel Corpora},
    author={Surangika Ranathunga, Nisansa de Silva, Menan Velayuthan, Aloka
  Fernando, Charitha Rathnayake},
    journal={arXiv preprint arXiv:2402.07446},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.07446},
    primaryClass={cs.CL}
}