Erroreak automatikoki detektatzeko tekniken azterlana eta euskararentzako aplikazioak

Erroreak automatikoki detektatzeko tekniken azterlana eta euskararentzako aplikazioak

In this article, we study the techniques used for detecting errors in Natural Language Processing (NLP). We classify the techniques according to their approach (symbolic or empirical), and then we describe them in depth. Following that, we describe the systems we have developed for detecting syntact...

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Bibliographic Details
Published in:Anuario del Seminario de Filología Vasca "Julio de Urquijo." Vol. 43; no. 1-2
Main Authors: Maite Oronoz, Arantza Díaz de Ilarraza, Koldo Gojenola
Format: Journal Article
Language:Basque
English
Published: UPV/EHU Press 01-04-2009
Online Access:Get full text
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Summary:In this article, we study the techniques used for detecting errors in Natural Language Processing (NLP). We classify the techniques according to their approach (symbolic or empirical), and then we describe them in depth. Following that, we describe the systems we have developed for detecting syntactic errors in Basque, by using that technique as a criterion for the classification of those systems, and enhancing it with examples.
ISSN:0582-6152
2444-2992
DOI:10.1387/asju.1748