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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2014
    • vol. 2, nº 6, june 2014
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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2014
    • vol. 2, nº 6, june 2014
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    A Hybrid Algorithm for Recognizing the Position of Ezafe Constructions in Persian Texts

    Autor: 
    Noferesti, Samira
    ;
    Shamsfard, Mehrnoush
    Fecha: 
    06/2014
    Palabra clave: 
    ezafe construction; genetic algorithm; genitive construction; rule-based model; IJIMAI
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/9784
    DOI: 
    http://dx.doi.org/10.9781/ijimai.2014.262
    Dirección web: 
    https://www.ijimai.org/journal/node/608
    Open Access
    Resumen:
    In the Persian language, an Ezafe construction is a linking element which joins the head of a phrase to its modifiers. The Ezafe in its simplest form is pronounced as –e, but generally not indicated in writing. Determining the position of an Ezafe is advantageous for disambiguating the boundary of the syntactic phrases which is a fundamental task in most natural language processing applications. This paper introduces a framework for combining genetic algorithms with rule-based models that brings the advantages of both approaches and overcomes their problems. This framework was used for recognizing the position of Ezafe constructions in Persian written texts. At the first stage, the rule-based model was applied to tag some tokens of an input sentence. Then, in the second stage, the search capabilities of the genetic algorithm were used to assign the Ezafe tag to untagged tokens using the previously captured training information. The proposed framework was evaluated on Peykareh corpus and it achieved 95.26 percent accuracy. Test results show that this proposed approach outperformed other approaches for recognizing the position of Ezafe constructions.
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    • vol. 2, nº 6, june 2014

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