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        <title>Morphological Segmentation and Part of Speech Tagging for Religious Arabic</title>
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            <title>Fourth Workshop on Computational Approaches to Arabic-Script-based Languages</title>
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            <namePart type="given">Ali</namePart>
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            <namePart type="given">Farhad</namePart>
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    <abstract>We annotate a small corpus of religious Arabic with morphological segmentation boundaries and fine-grained segment-based part of speech tags. Experiments on both segmentation and POS tagging show that the religious corpus-trained segmenter and POS tagger outperform the Arabic Treebak-trained ones although the latter is 21 times as big, which shows the need for building religious Arabic linguistic resources. The small corpus we annotate improves segmentation accuracy by 5% absolute (from 90.84% to 95.70%), and POS tagging by 9% absolute (from 82.22% to 91.26) when using gold standard segmentation, and by 9.6% absolute (from 78.62% to 88.22) when using automatic segmentation.</abstract>
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%0 Conference Proceedings
%T Morphological Segmentation and Part of Speech Tagging for Religious Arabic
%A Mohamed, Emad
%Y Farghaly, Ali
%Y Oroumchian, Farhad
%S Fourth Workshop on Computational Approaches to Arabic-Script-based Languages
%D 2012
%8 nov 1
%I Association for Machine Translation in the Americas
%C San Diego, California, USA
%F mohamed-2012-morphological
%X We annotate a small corpus of religious Arabic with morphological segmentation boundaries and fine-grained segment-based part of speech tags. Experiments on both segmentation and POS tagging show that the religious corpus-trained segmenter and POS tagger outperform the Arabic Treebak-trained ones although the latter is 21 times as big, which shows the need for building religious Arabic linguistic resources. The small corpus we annotate improves segmentation accuracy by 5% absolute (from 90.84% to 95.70%), and POS tagging by 9% absolute (from 82.22% to 91.26) when using gold standard segmentation, and by 9.6% absolute (from 78.62% to 88.22) when using automatic segmentation.
%U https://aclanthology.org/2012.amta-caas14.9
%P 65-71

Markdown (Informal)

[Morphological Segmentation and Part of Speech Tagging for Religious Arabic](https://aclanthology.org/2012.amta-caas14.9) (Mohamed, AMTA 2012)

• Morphological Segmentation and Part of Speech Tagging for Religious Arabic (Mohamed, AMTA 2012)

ACL

• Emad Mohamed. 2012. Morphological Segmentation and Part of Speech Tagging for Religious Arabic. In Fourth Workshop on Computational Approaches to Arabic-Script-based Languages, pages 65–71, San Diego, California, USA. Association for Machine Translation in the Americas.