Lankford, Seamus, Afli, Haithem ORCID: 0000-0002-7449-4707 and Way, Andy ORCID: 0000-0001-5736-5930 (2023) adaptNMT: an open-source, language-agnostic development environment for neural machine translation. Language Resources and Evaluation, 57 . pp. 1671-1696. ISSN 1574-020X
Abstract
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 both technical and non-technical users who work in the field of machine translation. Built upon the widely-adopted OpenNMT ecosystem, the application is particularly useful for new entrants to the field since the setup of the development environment and creation of train, validation and test splits is greatly simplified. Graphing, embedded within the application, illustrates the progress of model training, and SentencePiece is used for creating subword segmentation models. Hyperparameter customization is facilitated through an intuitive user interface, and a single-click model development approach has been implemented. Models developed by adaptNMT can be evaluated using a range of metrics, and deployed as a translation service within the application. To support eco-friendly research in the NLP space, a green report also flags the power consumption and kgCO2 emissions generated during model development. The application is freely available (http://github.com/adaptNMT).
Metadata
Item Type: | Article (Published) |
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Refereed: | Yes |
Uncontrolled Keywords: | Neural machine translation; Language technology; NMT; Natural language processing; Green NLP |
Subjects: | Computer Science > Artificial intelligence Computer Science > Computational linguistics Computer Science > Computer engineering Computer Science > Information technology Computer Science > Interactive computer systems Computer Science > Machine learning Computer Science > Machine translating Humanities > Language Humanities > Translating and interpreting |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Institutes and Centres > ADAPT |
Publisher: | Springer |
Official URL: | https://doi.org/10.1007/s10579-023-09671-2 |
Copyright Information: | © 2023 The Authors |
Funders: | Science Foundation Ireland through ADAPT Centre (Grant No. 13/RC/2106), Munster Technological University, National Relay Station (NRS) of Ireland., Open Access funding provided by the IReL Consortium. |
ID Code: | 28791 |
Deposited On: | 20 Jul 2023 12:21 by Andrew Way . Last Modified 21 Nov 2023 12:26 |
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