valuation of transformer-based models for punctuation and capitalization restoration in Catalan and Galician

  1. Vivancos Vicente, Pedro J.
  2. Valencia García, Rafael
  3. Pan, Ronghao
  4. García-Díaz, José Antonio
Aldizkaria:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Argitalpen urtea: 2023

Zenbakia: 70

Orrialdeak: 27-38

Mota: Artikulua

DIALNET GOOGLE SCHOLAR lock_openRUA editor

Beste argitalpen batzuk: Procesamiento del lenguaje natural

Laburpena

En los últimos años, el rendimiento de sistemas de Reconocimiento Automático del habla ha aumentado considerablemente gracias a nuevos métodos de deep learning. Sin embargo, la salida bruta de estos sistemas consiste en secuencias de palabras sin mayúsculas ni signos de puntuación. Recuperar esta información mejora la legibilidad y permite su posterior uso en otros modelos de PLN. La mayoría de las soluciones existentes se centran únicamente en inglés; aunque recientemente han surgido nuevos modelos de restauración de la puntuación en español. Sin embargo, ninguno se centra en gallego y catalán. En este sentido, proponemos un sistema de restauración de mayúsculas y puntuación basado en modelos Transformers para estos idiomas. Ambos modelos tienen un rendimiento muy bueno: 90,2% para el gallego y 90,86% para el catalán. Además, también tienen la capacidad de identificar nombres propios, nombres de países y organizaciones para la restauración de mayúsculas.

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