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Séamus Lankford
Séamus Lankford
Lecturer, Munster Technological University
在 mtu.ie 的电子邮件经过验证
标题
引用次数
引用次数
年份
Transformers for Low-Resource Languages: Is F\'eidir Linn!
S Lankford, H Afli, A Way
arXiv preprint arXiv:2403.01985, 2024
212024
adaptmllm: Fine-tuning multilingual language models on low-resource languages with integrated llm playgrounds
S Lankford, H Afli, A Way
Information 14 (12), 638, 2023
182023
Machine Translation in the Covid domain: an English-Irish case study for LoResMT 2021
S Lankford, H Afli, A Way
arXiv preprint arXiv:2403.01196, 2024
122024
Human evaluation of English–Irish transformer-based NMT
S Lankford, H Afli, A Way
Information 13 (7), 309, 2022
102022
Neural architecture search using particle swarm and ant colony optimization
S Lankford, D Grimes
arXiv preprint arXiv:2403.03781, 2024
92024
Effective tuning of regression models using an evolutionary approach: a case study
S Lankford
Proceedings of the 2020 3rd Artificial Intelligence and Cloud Computing …, 2020
72020
gaHealth: An English-Irish Bilingual Corpus of Health Data
S Lankford, H Afli, ÓN Loinsigh, A Way
arXiv preprint arXiv:2403.03575, 2024
62024
Enhanced neural architecture search using super learner and ensemble approaches
S Lankford, D Grimes
2021 2nd Asia Service Sciences and Software Engineering Conference, 137-143, 2021
32021
adaptNMT: an open-source, language-agnostic development environment for neural machine translation
S Lankford, H Afli, A Way
Language Resources and Evaluation 57 (4), 1671-1696, 2023
22023
Open-source neural architecture search with ensemble and pre-trained networks
S Lankford
International Journal of Modeling and Optimization 11 (2), 33-41, 2021
22021
Leveraging LLMs for MT in Crisis Scenarios: a blueprint for low-resource languages
S Lankford, A Way
arXiv preprint arXiv:2410.23890, 2024
12024
How Much Data is Enough Data? Fine-Tuning Large Language Models for In-House Translation: Performance Evaluation Across Multiple Dataset Sizes
I Vieira, W Allred, S Lankford, S Castilho, A Way
arXiv preprint arXiv:2409.03454, 2024
12024
Automating Translation
J Moorkens, A Way, S Lankford
Taylor & Francis, 2024
12024
Design of an Open-Source Architecture for Neural Machine Translation
S Lankford, H Afli, A Way
arXiv preprint arXiv:2403.03582, 2024
2024
Enhancing Neural Machine Translation of Low-Resource Languages: Corpus Development, Human Evaluation and Explainable AI Architectures
S Lankford
arXiv preprint arXiv:2403.01580, 2024
2024
Proceedings of the 18th Biennial Machine Translation Summit (Volume 1: Research Track).
K Duh, F Guzmán
MTSummit (1), 2021
2021
Final Report of the Peer Review Group
D Douglas
Institute of Technology Tralee, 2012
2012
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