Ontology-Driven Enhancements in Statistical Machine Translation: Methods and Applications
Daniel Rojas Plata, No ́e Alejandro Castro S ́anchez · International Journal of Computer Applications · 2025
This paper analyzes the role of ontologies in improving translation systems.Statistical-based technologies were chosen as the analysis model, as they do not rely on grammar-based models or any other linguistic implementation.Since this architecture is based solely on probabilistic inferences, implementations like ontologies can help reduce ambiguity and thus improve the semantic and lexical aspects, which remain persistent issues.Specifically, this study reviews these problems and outlines guidelines for ontology development.