Abstract: This paper presents an Arabic-compliant part-of-speech (POS) tagging scheme based on using atomic tag markers that are grouped together using brackets. This scheme promotes the speedy production of annotations while preserving the richness of resultant annotations. The proposed scheme is comprised of two main elements, a new tokenization approach and a custom tool that enables the semi-automatic implementation of this scheme. The proposed model can serve in many scenarios where the user is in a need for better Arabic support and more control over the Part-of-Speech tagging process. This scheme was used to annotate sample narratives and it demonstrated capability and adaptability while addressing the various distinguishing features of Arabic language including its unique declension system. It also sets new baselines that are prospect for further exploration by future efforts.

Mohammad Fasha, “A Proposed Adaptive Scheme for Arabic Part-of Speech Tagging” International Journal of Advanced Computer Science and Applications(IJACSA), 8(7), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080710

@article{Fasha2017,
title = {A Proposed Adaptive Scheme for Arabic Part-of Speech Tagging},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080710},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080710},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {7},
author = {Mohammad Fasha}
}