Servicios Personalizados
Revista
Articulo
Indicadores
Citado por SciELO
Accesos
Links relacionados
Similares en SciELO
Compartir
Computación y Sistemas
versión On-line ISSN 2007-9737versión impresa ISSN 1405-5546
Resumen
OVANDO-BECERRIL, Ericka y CALVO, Hiram. Design of an Automatic Tagging Algorithm for the Development of a Non-Literal Language Corpus in Spanish. Comp. y Sist. [online]. 2023, vol.27, n.4, pp.899-907. Epub 17-Mayo-2024. ISSN 2007-9737. https://doi.org/10.13053/cys-27-4-4779.
The development of corpus in general represents an arduous task due to the analysis and labeling processes, as well as the elements to consider in its development. For its part, the study of literal language and non-literal language in its various literary figures represents an important area of study for Natural Language Processing. The study of this phenomenon in Spanish has been limited by the lack of corpora available for its study as well as the lexical and semantic complexity of the language. In accordance with the above, this project proposes a labeling algorithm for non-literal and literal language, likewise reviews the points to consider regarding design and experimentation and presents results from the CESS-ESP corpus.
Palabras llave : Metaphor; semantics; natural language processing.