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Granularidad semántica en la derivación

Richard Huyghe1, Rossella Varvara2,3

  • 1University of Fribourg, Fribourg, Switzerland.

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|January 7, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio revela que tanto los tipos semánticos ontológicos como los relacionales, a un nivel fino de granularidad, son esenciales para comprender la derivación de verbo a sustantivo en francés. Esta investigación integra la semántica léxica y la morfología derivacional.

Palabras clave:
afijaciónconversiónsemántica distribucionalnominalizaciónsemántica de formación de palabras

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Área de la Ciencia:

  • Lingüística
  • Lingüística Computacional
  • Semántica Léxica

Sus antecedentes:

  • Los procesos derivacionales son clave para la formación de palabras, pero su precisión semántica está poco explorada.
  • La comprensión de la derivación impacta las teorías de la composicionalidad, la competencia y la polisemia.
  • La derivación de verbo a sustantivo en francés ofrece un caso específico para examinar la granularidad semántica.

Objetivo del estudio:

  • Investigar la precisión semántica de los procesos derivacionales en la derivación de verbo a sustantivo en francés.
  • Determinar el nivel óptimo de granularidad semántica para capturar las propiedades derivacionales.
  • Explorar los roles de los tipos semánticos ontológicos y relacionales en la derivación.

Principales métodos:

  • Análisis manual de 2.190 sustantivos derivados de 30 procesos deverbales.
  • Clasificación de sustantivos derivados basada en tipos semánticos ontológicos y relacionales en tres niveles de granularidad.
  • Prueba de combinaciones de tipos semánticos y granularidad contra modelos computacionales derivados de la semántica distribucional.

Principales resultados:

  • Tanto los tipos semánticos ontológicos como los relacionales son parte integral de la semántica de los procesos derivacionales.
  • Los procesos derivacionales operan a un nivel fino de granularidad semántica.
  • El estudio demuestra la sinergia entre el análisis lingüístico experto y los métodos computacionales.

Conclusiones:

  • La morfología derivacional y la semántica léxica requieren una integración más estrecha para el estudio de palabras complejas.
  • El análisis semántico de grano fino es crucial para modelar con precisión la formación de palabras.
  • Los enfoques computacionales y manuales lingüísticos se pueden combinar eficazmente para abordar preguntas lingüísticas complejas.