Abstract
Takri is a low-resource class of scripts, used in north-west India which include states of J&K, H.P., Punjab, and Uttarakhand. This class of script has almost 13 scripts, identified in the whole region of North-west India. The paper focuses on classifying the various challenges in the script. The challenges identified are classified for effectiveness using ML classifiers and their performance is evaluated for accuracy. We believe that this classification of challenges will further aid the researchers of NLP community in solving them more efficiently.
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Magotra, S., Kaushik, B., Kaul, A. (2021). Use of Classification Approaches for Takri Text Challenges. In: Kaiser, M.S., Xie, J., Rathore, V.S. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2020). Lecture Notes in Networks and Systems, vol 190. Springer, Singapore. https://doi.org/10.1007/978-981-16-0882-7_34
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DOI: https://doi.org/10.1007/978-981-16-0882-7_34
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