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Optimizing machine translation models: Practical strategies with opennmt

Research output: Book chapterConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationArtificial Intelligence Research and Development - Proceedings of the 27th International Conference of the Catalan Association for Artificial Intelligence
EditorsKarla Trejo, Isabel Aguilo, Juan Vicente Riera, Jordi Pascual
PublisherIOS Press BV
Pages105-111
Number of pages7
ISBN (Electronic)9781643686189
DOIs
Publication statusPublished - 22 Sept 2025
Event27th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2025 - Valls, Spain
Duration: 15 Oct 202517 Oct 2025

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume410
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference27th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2025
Country/TerritorySpain
CityValls
Period15/10/2517/10/25

Keywords

  • natural language procesing
  • openNMT
  • translation

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