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    <titleInfo>
        <title>In-Depth Analysis of Arabic-Origin Words in the Turkish Morpholex</title>
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    <name type="personal">
        <namePart type="given">Mounes</namePart>
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    <name type="personal">
        <namePart type="given">Abdullah</namePart>
        <namePart type="family">İhsanoğlu</namePart>
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    <name type="personal">
        <namePart type="given">Asım</namePart>
        <namePart type="family">Ersoy</namePart>
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    <name type="personal">
        <namePart type="given">Olcay</namePart>
        <namePart type="given">Taner</namePart>
        <namePart type="family">Yıldız</namePart>
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            <title>Proceedings of the 1st Workshop on NLP for Languages Using Arabic Script</title>
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            <namePart type="given">Mo</namePart>
            <namePart type="family">El-Haj</namePart>
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    <abstract>MorphoLex is an investigation that focuses on analyzing the roots, prefixes, and suffixes of words. Turkish Morpholex, for example, analyzes 48,472 Turkish words. Unfortunately, it lacks in-depth analysis of the Arabic-origin words, and does not include their accurate and correct roots. This study analyzes Arabic-origin words in the Turkish Morpholex, annotating their roots, morphological patterns, and semantic categories. The methodology developed for this work is adaptable to other languages influenced by Arabic, such as Urdu and Persian, offering broader implications for studying loanword integration across linguistic contexts.</abstract>
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%0 Conference Proceedings
%T In-Depth Analysis of Arabic-Origin Words in the Turkish Morpholex
%A Zaval, Mounes
%A İhsanoğlu, Abdullah
%A Ersoy, Asım
%A Yıldız, Olcay Taner
%Y El-Haj, Mo
%S Proceedings of the 1st Workshop on NLP for Languages Using Arabic Script
%D 2025
%8 January
%I Association for Computational Linguistics
%C Abu Dhabi, UAE
%F zaval-etal-2025-depth
%X MorphoLex is an investigation that focuses on analyzing the roots, prefixes, and suffixes of words. Turkish Morpholex, for example, analyzes 48,472 Turkish words. Unfortunately, it lacks in-depth analysis of the Arabic-origin words, and does not include their accurate and correct roots. This study analyzes Arabic-origin words in the Turkish Morpholex, annotating their roots, morphological patterns, and semantic categories. The methodology developed for this work is adaptable to other languages influenced by Arabic, such as Urdu and Persian, offering broader implications for studying loanword integration across linguistic contexts.
%U https://aclanthology.org/2025.abjadnlp-1.4/
%P 29-36

Markdown (Informal)

[In-Depth Analysis of Arabic-Origin Words in the Turkish Morpholex](https://aclanthology.org/2025.abjadnlp-1.4/) (Zaval et al., AbjadNLP 2025)

• In-Depth Analysis of Arabic-Origin Words in the Turkish Morpholex (Zaval et al., AbjadNLP 2025)

ACL

• Mounes Zaval, Abdullah İhsanoğlu, Asım Ersoy, and Olcay Taner Yıldız. 2025. In-Depth Analysis of Arabic-Origin Words in the Turkish Morpholex. In Proceedings of the 1st Workshop on NLP for Languages Using Arabic Script, pages 29–36, Abu Dhabi, UAE. Association for Computational Linguistics.