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Title:
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Fundamentos y límites de los sistemas de verificación automática de la sintaxis y el estilo
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Author:
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Xavier Gomez-Guinovart
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Email:
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click here to access email
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Homepage:
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http://www.uvigo.es/webs/sli/
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Degree Awarded:
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Universidade de Santiago de Compostela
, Spanish Syntax Research Group
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Degree Date:
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1996
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Linguistic Subfield(s):
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Computational Linguistics
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Subject Language(s):
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Spanish
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Director(s):
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Juan Ruiz-Anton
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Abstract:
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This study presents the linguistic and computational foundations and limits of grammar and style checking, focusing on the linguistic correctness of Spanish written texts. The aim of this study is to establish the theoretical bases, the range of application, and the programming strategies of the linguistic checking systems developed in the field of natural language processing.
The dissertation is divided into three main parts. The first part describes grammatical errors and their automatic processing. In this part, I review the theoretical linguistic foundations of the distinction between grammaticality and ungrammaticality; then I examine a number of criteria for the characterization and classification of grammatical errors; finally I analyze the different programming strategies for their automatic treatment, focusing first on the procedures devised by corpus linguistics to detect syntactic errors by tagging texts, second on constraint-relaxation techniques in robust parsing, and third on syntax-checking methods based on pattern matching.
The second part of the study describes stylistic improprieties and investigates the possibilities of their automatic handling. In this part, after analyzing the main theoretical approaches to the study of style, I establish a characterization of stylistic improprieties adjusted to the possibilities of their automatic processing, and examine the different computing strategies appropriate to that purpose, exploring first the methods of quantitative linguistics for the evaluation of the readability of texts, second the checking strategies grounded on styilistic typologies, and third the detection techniques based on gradation of stylistic features and on the determination of their thresholds of impropriety.
Finally, the third part of the dissertation presents a contribution to the methodology for the evaluation of the performance of syntax and style checkers, at the level of both error detection and error correction. The model proposed is based on recall and precision, as used in the evaluation of information retrieval systems.
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