CKSD: Comprehensive Kurdish-Sorani database

Every individual has a specific language with which he/she communicates. Each language has special letters and features distinguishing it from other languages. Ideas, cultures, and sciences are exchanged through some notions of languages, including retrieval, translation, and classification of texts from journals, books, journals, research, and the internet. It is accomplished through database availability. Unfortunately, due to some reasons, Kurdish language databases may be rare or non-existent. In the present study, a Comprehensive Kurdish-Sorani Database (CKSD) is generated, which contains datasets of dates, letters, and common words in the Kurdish language, as well as the documents employed for the extraction of these datasets. Elements of these collections were extracted from the written documents in 27 different fonts. It bestows a comprehensiveness feature to the CKSD database that can be utilized by researchers. In order to determine the extent to which classifiers can categorize such data, these data were utilized in this study. Indeed, this study demonstrated the reliability of this data and its suitability for use in the fields of machine learning and other artificial intelligence applications.

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Publication Details

Journal
Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska
Published
2025-03-31
DOI
https://doi.org/10.35784/iapgos.6521
Primary Topic
Handwritten Text Recognition Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

CKSD: Comprehensive Kurdish-Sorani database

Jihad Anwar Qadir, Samer Kais Jameel, Kamaran H. Manguri, Wshyar Omar Khudhur
Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska
Handwritten Text Recognition Techniques
article

CKSD: Comprehensive Kurdish-Sorani database

Jihad Anwar Qadir, Samer Kais Jameel, Kamaran H. Manguri, Wshyar Omar Khudhur
article en

Abstract

Every individual has a specific language with which he/she communicates. Each language has special letters and features distinguishing it from other languages. Ideas, cultures, and sciences are exchanged through some notions of languages, including retrieval, translation, and classification of texts from journals, books, journals, research, and the internet. It is accomplished through database availability. Unfortunately, due to some reasons, Kurdish language databases may be rare or non-existent. In the present study, a Comprehensive Kurdish-Sorani Database (CKSD) is generated, which contains datasets of dates, letters, and common words in the Kurdish language, as well as the documents employed for the extraction of these datasets. Elements of these collections were extracted from the written documents in 27 different fonts. It bestows a comprehensiveness feature to the CKSD database that can be utilized by researchers. In order to determine the extent to which classifiers can categorize such data, these data were utilized in this study. Indeed, this study demonstrated the reliability of this data and its suitability for use in the fields of machine learning and other artificial intelligence applications.

Informatyka Automatyka Pomiary w Gospodarce i Ochronie ŚrodowiskaVol. 15(1)
University of Raparin (IQ), Koya University (IQ)
Openalex Percentile: Top 95%
Handwritten Text Recognition Techniques
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