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researcher

Andy Way

35 papers hereh-index 468.8k citations460 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1
  • middle author11
  • last author21

Across the 34 of 35 papers where every author was matched, so the position is known.

fields
  • cs.CL34
  • cs.CV1
same name
  • Andy Way — 5 papers, h 3
  • Andy Way — 2 papers, h 3
  • Andy Way — 2 papers, h 3
  • Andy Way — 1 paper
  • Andy Way — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162024
most citedGetting Gender Right in Neural Machine Translation

166 citations · 607 across the 32 of their papers we have counts for

collaborators
Showing 2024 · cs.CLShow all

4 papers · 2 filters

cs.CL2024

gaHealth: An English-Irish Bilingual Corpus of Health Data

Séamus Lankford, Haithem Afli, Órla Ní Loinsigh +1

Machine Translation is a mature technology for many high-resource language pairs. However in the context of low-resource languages, there is a paucity of parallel data datasets ava…

cs.CL2024★ 5 cited

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

Séamus Lankford, Haithem Afli, Andy Way

adaptNMT streamlines all processes involved in the development and deployment of RNN and Transformer neural translation models. As an open-source application, it is designed for bo…

cs.CL2024★ 21 cited

Human Evaluation of English--Irish Transformer-Based NMT

Séamus Lankford, Haithem Afli, Andy Way

In this study, a human evaluation is carried out on how hyperparameter settings impact the quality of Transformer-based Neural Machine Translation (NMT) for the low-resourced Engli…

cs.CL2024★ 8 cited

Transformers for Low-Resource Languages: Is Féidir Linn!

Séamus Lankford, Haithem Afli, Andy Way

The Transformer model is the state-of-the-art in Machine Translation. However, in general, neural translation models often under perform on language pairs with insufficient trainin…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.