Sindhi Language Processing on Online SindhiNLP Tool

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Irum Naz Sodhar
Hina Bhanbhro
Zira Hassan Amur
Akhtar Hussain Jalbani
Abdul Hafeez Buller

Abstract

In artificial intelligence (AI) most important field is machine learning (ML) and machine learning sub
field is natural language processing (NLP) to perform different assignment by using language on machine. In this
research used Sindhi language (SL) to performed tasks on SindhiNLP tool. SindhiNLP tool is freely available
online and perform different tasks by using Sindhi language. This research based on seven tasks such as: (Lemma
(L), Stem Suffix (SS), Stem Affix (SA), Stem (S), Sindhi Parts-of-Speech (SPOS), Universal Parts-of-Speech
(UPOS) and words (W) from input sentences of Sindhi language. Number of sentences is used for research ten (10)
and one ninety-five words for research to find out root words from Sindhi data. Sindhi is oldest language of world
and also needs more attention for research to perform machine learning tasks by applying machine learning
algorithms and tools to get results. Still no any trained data set are available for Sindhi language online.

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How to Cite
Irum Naz Sodhar, Hina Bhanbhro, Zira Hassan Amur, Akhtar Hussain Jalbani, & Abdul Hafeez Buller. (2020). Sindhi Language Processing on Online SindhiNLP Tool. University of Sindh Journal of Information and Communication Technology , 4(3), 139 - 142. Retrieved from https://sujo.usindh.edu.pk/index.php/USJICT/article/view/2879
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