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Research Article | Open Access |

Word by Word Labelling of Romanized Sindhi Text by using Online Python Tool

Author 1: Irum Naz Sodhar Author 2: Abdul Hafeez Buller Author 3: Suriani Sulaiman Author 4: Anam Naz Sodhar
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 13, No. 8 · Published 2022

DOI: https://doi.org/10.14569/IJACSA.2022.0130831

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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.

Keywords

Romanized sindhi word labelling rule-based model POS tagging SindhiNLP tool

How to Cite this Article

Sodhar, I. N., Buller, A. H., Sulaiman, S., & Sodhar, A. N. (2022). Word by Word Labelling of Romanized Sindhi Text by using Online Python Tool. International Journal of Advanced Computer Science and Applications, 13(8). https://doi.org/10.14569/IJACSA.2022.0130831

Sodhar, Irum Naz, et al.. "Word by Word Labelling of Romanized Sindhi Text by using Online Python Tool." International Journal of Advanced Computer Science and Applications, vol. 13, no. 8, 2022, https://doi.org/10.14569/IJACSA.2022.0130831.

@article{Sodhar2022,
  title     = {Word by Word Labelling of Romanized Sindhi Text by using Online Python Tool},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {13},
  number    = {8},
  year      = {2022},
  publisher = {The Science and Information Organization},
  author    = {Irum Naz Sodhar and Abdul Hafeez Buller and Suriani Sulaiman and Anam Naz Sodhar},
  doi       = {10.14569/IJACSA.2022.0130831},
  url       = {https://doi.org/10.14569/IJACSA.2022.0130831}
}

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