Optimizing Machine Translation Models: Practical Strategies with OpenNMT
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Publication date
2025-10ISSN
1879-8314
Abstract
In correspondence with the advancement of Natural Language Processing (NLP), the field of Translation has also experienced significant advances, for example, with the use of an ecosystem for neural machine translation, called OpenNMT. However, it still has limitations, especially when it comes to translating much more specific texts. That is why this study focuses on the practical strategies that developers should follow to obtain more accurate results.
Document Type
Article
Document version
Published version
Language
English
Subject (CDU)
004 - Computer science and technology. Computing. Data processing
62 - Engineering. Technology in general
8 - language. Linguistics. Literature
Keywords
Pages
7 p.
Publisher
IOS Press
Is part of
Artificial Intelligence Research and Development - Proceedings of the 27th International Conference of the Catalan Association for Artificial Intelligence
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© L'autor/a
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc/4.0/


