Search Results for author: Séamus Lankford

Found 10 papers, 3 papers with code

gaHealth: An English–Irish Bilingual Corpus of Health Data

1 code implementation LREC 2022 Séamus Lankford, Haithem Afli, Órla Ní Loinsigh, Andy Way

However in the context of low-resource languages, there is a paucity of parallel data datasets available for developing translation models.

Machine Translation Translation

Neural Architecture Search using Particle Swarm and Ant Colony Optimization

no code implementations6 Mar 2024 Séamus Lankford, Diarmuid Grimes

A process known as Neural Architecture Search (NAS) may be applied to automatically evaluate a large number of such architectures.

Experimental Design Neural Architecture Search +1

Design of an Open-Source Architecture for Neural Machine Translation

no code implementations6 Mar 2024 Séamus Lankford, Haithem Afli, Andy Way

adaptNMT is an open-source application that offers a streamlined approach to the development and deployment of Recurrent Neural Networks and Transformer models.

Machine Translation Translation

gaHealth: An English-Irish Bilingual Corpus of Health Data

1 code implementation6 Mar 2024 Séamus Lankford, Haithem Afli, Órla Ní Loinsigh, Andy Way

However in the context of low-resource languages, there is a paucity of parallel data datasets available for developing translation models.

Machine Translation Translation

adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM Playgrounds

1 code implementation4 Mar 2024 Séamus Lankford, Haithem Afli, Andy Way

As a multilingual tool, we used adaptMLLM to fine-tune models for two low-resource language pairs: English to Irish (EN$\leftrightarrow$GA) and English to Marathi (EN$\leftrightarrow$MR).

Machine Translation Translation

adaptNMT: an open-source, language-agnostic development environment for Neural Machine Translation

no code implementations4 Mar 2024 Séamus Lankford, Haithem Afli, Andy Way

adaptNMT streamlines all processes involved in the development and deployment of RNN and Transformer neural translation models.

Machine Translation Translation

Human Evaluation of English--Irish Transformer-Based NMT

no code implementations4 Mar 2024 Séamus Lankford, Haithem Afli, Andy Way

Our findings show the best-performing Transformer system significantly reduces both accuracy and fluency errors when compared with an RNN-based model.

16k Machine Translation +2

Enhancing Neural Machine Translation of Low-Resource Languages: Corpus Development, Human Evaluation and Explainable AI Architectures

no code implementations3 Mar 2024 Séamus Lankford

Fine-tuning of MLLMs by adaptMLLM demonstrated advancements in translation performance for two low-resource language pairs: English$\leftrightarrow$Irish and English$\leftrightarrow$Marathi, compared to baselines from the LoResMT2021 Shared Task.

Machine Translation Translation

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

no code implementations MTSummit 2021 Séamus Lankford, Haithem Afli, Andy Way

Translation models for the specific domain of translating Covid data from English to Irish were developed for the LoResMT 2021 shared task.

8k Domain Adaptation +2

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