AzterTestHerramienta de Análisis Lingüístico y Estilístico de Código Abierto

  1. Kepa Bengoetxea, I
  2. Amaia Aguirregoitia
  3. tziar González-Dios
Revista:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Año de publicación: 2020

Número: 64

Páginas: 61-68

Tipo: Artículo

DIALNET GOOGLE SCHOLAR lock_openRUA editor

Otras publicaciones en: Procesamiento del lenguaje natural

Resumen

El análisis de texto es un procedimiento útil para ayudar a los profesionales de la educación en la selección de los textos más adecuados para sus alumnos. Esta tarea exige el análisis de varias características de texto (por ejemplo, complejidad sintáctica, variedad de palabras, etc.), que se realiza principalmente de forma manual. En este artículo, presentamos AzterTest, una herramienta de código abierto para el análisis lingüístico y estilístico. AzterTest calcula 153 características y obtiene una exactitud de 90.09 % al distinguir tres niveles de lectura (elemental, intermedio y avanzado). AzterTest también se encuentra disponible como herramienta web.

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Información de financiación

We acknowledge following projects: DL4NLP (KK-2019/00045), DeepReading RTI2018-096846-B-C21 (MCIU/AEI/FEDER, UE) and BigKnowledge for Text Mining, BBVA.

Financiadores

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