Word by word labelling of Romanized Sindhi text by using online python tool

Sodhar, Irum Naz and Buller, Abdul Hafeez and Sulaiman, Suriani and Sodhar, Anam Naz (2022) Word by word labelling of Romanized Sindhi text by using online python tool. International Journal of Advanced Computer Science and Applications, 13 (8). pp. 262-267. ISSN 2158-107X E-ISSN 2156-5570

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Abstract

Sindhi is one of the most ancient languages in the world and it has its own written and spoken scripts. After the rigorous study it was found that a lot of research work has been done in different languages, but word by word labelling of Sindhi language had not been done yet. In this research study, word labelling was done on 100 sentences of Romanized Sindhi texts using Python online tool. The dataset was collected from different sources which include Sindhi newspaper, blogs and social media webpages. From this dataset, a rule-based model has been applied for the Parts-of-Speech (POS) tagging of the Romanized Sindhi sentences. A total of 624 words of Romanized Sindhi texts were tested and successfully tagged by the SindhiNLP tool in which 482 words were tagged as nouns and pronouns, 92 words tagged as verbs and 50 words tagged as determinants.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Romanized sindhi, word labelling, rule-based model, POS tagging, SindhiNLP tool
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Civil Engineering Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Engineering Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Dr. Suriani Sulaiman
Date Deposited:	29 Dec 2023 10:15
Last Modified:	29 Dec 2023 10:18
URI:	http://irep.iium.edu.my/id/eprint/100654

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