PHRASENET: detección y extracción de unidades fraseológicas a partir de un corpus textual

• Autores: Jose Luiz De Lucca
• Localización: A survey of corpus-based research / coord. por Pascual Cantos Gómez, Aquilino Sánchez Pérez, 2009, ISBN 978-84-692-2198-3, págs. 664-674
• Idioma: español
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• Resumen

  • This article describes a new method to identify and extract phraseological units from textual corpora. There are different methods of classification of phraseological units, but we have to highlight the ones proposed by Corpas Pastor (1996). This author, starting from a wide conception of phraseology, classifies Spanish's phraseologisms in three different categories: collocations, locutions and phraseological enunciated units (fixed forms and routine formulas) from which we have to choose locutions and phraseological enunciated for our research.

    The extraction is done sentence-by-sentence and the proposed architecture is based on statistics and relational algebra. The main characteristic of this architecture is the scarce use of linguistic resources, which are replaced by algorithms of searches and statistical methods. Four experiments are presented in this paper to show the extraction of phraseological units from textual corpora. This application demonstrates the useful architecture of the software design, comparing the results of this system with manual extraction. The advantages of this system are the huge database that can be analyzed