Papers by Aloka Fernando

3 papers
Shoulders of Giants: A Look at the Degree and Utility of Openness in NLP Research (2024.acl-short)

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Challenge: We analysed a sample of NLP research papers published in ACL Anthology . we observe a wide language-wise disparity in publicly available NLP-related artefacts .
Approach: They analysed NLP research papers archived in ACL Anthology to quantify degree of openness and benefit of such an open culture in the NLP community.
Outcome: The results show that more than 30% of the papers published in ACL Anthology do not release their artefacts publicly.
Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corpora (2024.eacl-long)

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Challenge: Existing web-mined corpora for low-resource languages have serious quality issues, especially for lowresource language pairs.
Approach: They ranked each corpus according to a similarity measure and evaluated different portions of this ranked corpus.
Outcome: The results show that the quality of web-mined corpora for low-resource languages is significantly different from human-curated corporats.
Improving the Quality of Web-mined Parallel Corpora of Low-Resource Languages using Debiasing Heuristics (2025.emnlp-main)

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Challenge: Parallel Data Curation (PDC) techniques aim to filter out noisy parallel sentences from web-mined corpora.
Approach: They propose to rank parallel sentences using similarity scores on sentence embeddings derived from Pre-trained Multilingual Language Models (multiPLMs) . previous research has shown that the choice of multiPLM significantly impacts the quality of the filtered parallel corpus.
Outcome: The proposed methods reduce disparities between multiPLMs while producing better results.

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