Optimizing Machine Translation Models: Practical Strategies with OpenNMT

Other authors

Universitat Ramon Llull. La Salle

Publication date

2025-10



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

Pages

7 p.

Publisher

IOS Press

Published in

Artificial Intelligence Research and Development - Proceedings of the 27th International Conference of the Catalan Association for Artificial Intelligence

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Rights

© L'autor/a

© L'autor/a

Attribution-NonCommercial 4.0 International

This item appears in the following Collection(s)

La Salle [1045]