Phonetic-based Sindhi spellchecker system using a hybrid model.

This article presents a novel architecture using a hybrid model for developing a Sindhi spellchecker system which has yet not been developed prior to this work. The compound textual forms and glyphs of Sindhi language presents a substantial challenge for developing a Sindhi spellchecker system and g...

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Publicado en:Digital Scholarship in the Humanities Vol. 31; no. 2; pp. 264 - 283
Autores principales: Bhatti, Zeeshan, Ismaili, Imdad Ali, Hakro, Dil Nawaz, Soomro, Waseem Javid
Formato: Artículo
Publicado: Oxford University Press / USA 6/1/2016
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: 6/1/2016
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        atl: Phonetic-based Sindhi spellchecker system using a hybrid model.
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        au:
          Bhatti, Zeeshan
          Ismaili, Imdad Ali
          Hakro, Dil Nawaz
          Soomro, Waseem Javid
        affil:
          Institute of Information and Communication Technology, University of Sindh, Jamshoro, Pakistan
          School of Computer Sciences, University Sains Malaysia, Malaysia
      su:
        Phonetics
        Sindhi language
        Spell checkers (Computer programs)
        Algorithms
        Spelling errors
      sug:
        subj:
          Phonetics
          Sindhi language
          Spell checkers (Computer programs)
          Algorithms
          Spelling errors
      ab: This article presents a novel architecture using a hybrid model for developing a Sindhi spellchecker system which has yet not been developed prior to this work. The compound textual forms and glyphs of Sindhi language presents a substantial challenge for developing a Sindhi spellchecker system and generating a similar suggestion list for misspelled words. In order to implement such a system, phonetic-based Sindhi language rules and patterns must be taken into account for increasing the accuracy and efficiency. In this research work, a simple and efficient combinational hybrid system is proposed, using three different algorithms, the Edit Distance algorithm to find the measure of similarity between two Sindhi strings. The phonetic-based SoundEx and ShapeEx algorithms are developed for pattern or glyph matching, generating accurate and an efficient suggestion list for incorrect or misspelled Sindhi words. The proposed system is established with a blend between Phonetic-based SoundEx algorithm and ShapeEx algorithm for pattern or glyph matching, generating accurate and efficient suggestion list for incorrect or misspelled Sindhi words. In this article, a table of phonetically similar-sounding Sindhi characters is presented which are grouped together along with another table containing similar glyph or shapebased character groups. The system has been successfully integrated into a predeveloped Sindhi word processer application. The Sindhi word segmentation methodology and algorithms required for the spellchecker has already been published and so are not discussed in detail in this article.
      pubtype: Academic Journal
      doctype: Article
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    language: English
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      holder: Oxford University Press / USA
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