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Interpretation of Sadhu into Cholit Bhasha by Cataloguing and Translation System

Journal: International Journal of Trend in Scientific Research and Development (Vol.4, No. 3)

Publication Date:

Authors : ;

Page : 1123-1130

Keywords : Computer Engineering; Cholit; Inverse Data Frequency; Linear Discriminant Analysis; Principal Component Analysis; Sadhu; Term Frequency; Machine Learning;

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Abstract

Sadhu and Cholit bhasha are two significant Bangladeshi languages. Sadhu was functional in ancient era and had Sanskrit components but in present era cholit took its place. There are many formal and legal paper works present in Sadhu language which direly need to be translated in Cholit because its more favorable and speaker friendly. Therefore, this paper dealt with this issue by familiarizing the current era with Sadhu by creating a software. Different sentences were chosen and final data set was obtained by Principal Component Analysis PCA . MATLAB and Python are used for different machine learning algorithms. Most work is being done using Scikit Learn and MATLAB machine learning toolbox. It was found that Linear Discriminant Analysis LDA functions best. Speed prediction was also done and values were determined through graphs. It was inferred that this categorizer efficiently translated all Sadhu words to Cholit precisely and in well structured way. Therefore, Sadhu will not remain a complex language in this decade. Nakib Aman Turzo | Pritom Sarker | Biplob Kumar "Interpretation of Sadhu into Cholit Bhasha by Cataloguing and Translation System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30792.pdf

Last modified: 2020-06-09 16:01:47