Transforming Complex Sentences using Dependency Trees for Automatic Text Simplification in Basque

Fuente: Redalyc
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Autor principal: María Jesús Aranzabe
Formato: Artículo científico
Lenguaje:en
Publicado: Sociedad Española para el Procesamiento del Lenguaje Natural 2013
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author María Jesús Aranzabe
author_facet María Jesús Aranzabe
contents Transforming Complex Sentences using Dependency Trees for Automatic Text Simplification in Basque María Jesús Aranzabe Arantza Díaz de Ilarraza Itziar Gonzalez-Dios Computación Basque tification sentence splitting Text Simplification clause boundary iden In this paper we present a module of the Text Simplification architecture that we are implementing. Exactly, we describe the module that carries out the task of splitting sentences into clauses. This module is based on general-coverage tools. We have adapted the clause identifier in this module and we have added a algorithm based on dependency-trees to split the sentences. This way, we get simple sentences. 2013 artículo científico 1135-5948 https://www.redalyc.org/articulo.oa?id=515751576007 en http://www.redalyc.org/revista.oa?id=5157 Procesamiento del Lenguaje Natural application/pdf Sociedad Española para el Procesamiento del Lenguaje Natural Procesamiento del Lenguaje Natural (España) Num.50
format Artículo científico
id redalyc_515751576007
institution Redalyc
language en
publishDate 2013
publisher Sociedad Española para el Procesamiento del Lenguaje Natural
spellingShingle Transforming Complex Sentences using Dependency Trees for Automatic Text Simplification in Basque
María Jesús Aranzabe
Computación
Basque
tification
sentence splitting
Text Simplification
clause boundary iden
Transforming Complex Sentences using Dependency Trees for Automatic Text Simplification in Basque María Jesús Aranzabe Arantza Díaz de Ilarraza Itziar Gonzalez-Dios Computación Basque tification sentence splitting Text Simplification clause boundary iden In this paper we present a module of the Text Simplification architecture that we are implementing. Exactly, we describe the module that carries out the task of splitting sentences into clauses. This module is based on general-coverage tools. We have adapted the clause identifier in this module and we have added a algorithm based on dependency-trees to split the sentences. This way, we get simple sentences. 2013 artículo científico 1135-5948 https://www.redalyc.org/articulo.oa?id=515751576007 en http://www.redalyc.org/revista.oa?id=5157 Procesamiento del Lenguaje Natural application/pdf Sociedad Española para el Procesamiento del Lenguaje Natural Procesamiento del Lenguaje Natural (España) Num.50
title Transforming Complex Sentences using Dependency Trees for Automatic Text Simplification in Basque
topic Computación
Basque
tification
sentence splitting
Text Simplification
clause boundary iden
url https://www.redalyc.org/articulo.oa?id=515751576007