mlsanityData to 7 Oct 2026

Machine Translation in the Covid domain: an English-Irish case study for LoResMT 2021

arXiv 2403.01196 ↗First posted 2 Mar 2024cs.CL cs.AIcited by 9

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Abstract (arXiv)

Translation models for the specific domain of translating Covid data from English to Irish were developed for the LoResMT 2021 shared task. Domain adaptation techniques, using a Covid-adapted generic 55k corpus from the Directorate General of Translation, were applied. Fine-tuning, mixed fine-tuning and combined dataset approaches were compared with models trained on an extended in-domain dataset. As part of this study, an English-Irish dataset of Covid related data, from the Health and Education domains, was developed. The highest-performing model used a Transformer architecture trained with an extended in-domain Covid dataset. In the context of this study, we have demonstrated that extending an 8k in-domain baseline dataset by just 5k lines improved the BLEU score by 27 points.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 9 of its 15 references that are in the map. First posted on arXiv 2 Mar 2024.

Builds on

9 of 15 references.

References · 9

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  9. 2021Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languagescited by 10

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 7; 2025: 1; 2026: 1.

9 papers.

  1. 2024adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM Playgroundscited by 14
  2. 2024UCCIX: Irish-eXcellence Large Language Modelcited by 5
  3. 2024Human Evaluation of English--Irish Transformer-Based NMTcited by 3
  4. 2024gaHealth: An English-Irish Bilingual Corpus of Health Datacited by 3
  5. 2024adaptNMT: an open-source, language-agnostic development environment for Neural Machine Translationcited by 2
  6. 2024Leveraging LLMs for MT in Crisis Scenarios: a blueprint for low-resource languagescited by 1
  7. 2025Sociotechnical Effects of Machine Translationcited by 1
  8. 2024Design of an Open-Source Architecture for Neural Machine Translationcited by 0
  9. 2026LLM-Powered Automatic Translation and Urgency in Crisis Scenarioscited by 0