Elaine Uí Dhonnchadha
Elaine Uí Dhonnchadha has 3 papers in our library, in 2025–2026, most of them on Text generation, Multilingual & cross-lingual NLP; often with Anya Belz, Brian Davis, Dawn Knight.
OpenAlex · ORCID · h-index 8 · 57 works · 197 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 1 time in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #11366
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksPsychology · 1 workArtificial Intelligence · 3 worksDevelopmental and Educational Psychology · 1 workInformation Systems · 1 workArts and Humanities · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 2Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workText generation · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Artificial intelligence · 1 work
Works by year
2020s
Papers
- A Pragmatic Approach to Using Artificial Intelligence and Virtual Reality in Digital Game-Based Language Learning (2025 · 1 citation)
The paper shows how to build a digital educational game for the Irish language with limited resources. Irish lacks high-quality CALL applications and language technologies, and assembling an interdisciplinary team is difficult. The authors describe the development of Cipher: Faoi Gheasa, a game for beginners. In… - Creating a Hybrid Rule and Neural Network Based Semantic Tagger Using Silver Standard Data: The PyMUSAS Framework for Multilingual Semantic Annotation (2026)
The USAS semantic framework uses a coarse inventory of 232 category labels. Its tools have mostly been rule-based taggers driven by language-specific lexicons, and nobody had openly tested how well they assign tags in context across several languages. Hand-annotated USAS training data also did not exist. To fill this… - LLM Multi-Agent Systems for Long Triple Set Data-to-Text Generation (2026)
Most data-to-text (D2T) benchmarks pair short inputs with outputs of a few dozen tokens. As a result, it is unclear how LLMs handle large structured inputs, where single-pass generation tends to omit or invent facts. The authors build a new dataset of 669 DBpedia triple sets, each with 8 to 199 triples, drawn from…
All works
- A Pragmatic Approach to Using Artificial Intelligence and Virtual Reality in Digital Game-Based Language LearningCeltic Language Technology WorkshopMonica Ward, Liang Xu, Elaine Uí Dhonnchadha2025 · 1 citation
- LLM Multi-Agent Systems for Long Triple Set Data-to-Text GenerationFindings of the Association for Computational LinguisticsChinonso Cynthia Osuji, Simon Mille, Mark Andrade, et al.2026
- Grammar Engineering Meets LLMs: Development of Cantonese and Irish ParGram Treebanks ↗Proceedings of the Third Workshop on the Bridges and Gaps between Formal and Computational Linguistics (BriGap-3) · no summary yetChit-Fung Lam, Elaine Uí Dhonnchadha2026
Co-authors here
- Anya Belz
- Brian Davis
- Dawn Knight
- Jane Lauren Adkins
- Liang Xu
- Mark Andrade
- Mícheál J. Ó Meachair
- Ornait O'Connell
- Paul Rayson
- Scott Piao
- Simon Mille
- Thiago Castro Ferreira
Venues
- Celtic Language Technology Workshop: Celtic Language Technology Workshop 2025
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Language Resources and Evaluation Conference (LREC): LREC 2026
- Proceedings of the Third Workshop on the Bridges and Gaps between Formal and Computational Linguistics (BriGap-3)
Cited by
Updated
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