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Comparison of Various Models in the Context of Language Identification (Indo Aryan Languages)

Journal: International Journal of Science and Research (IJSR) (Vol.10, No. 3)

Publication Date:

Authors : ;

Page : 185-188

Keywords : Hindi; Magahi; Bhojpuri;

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Automatic language detection is a text classification task in which language is identified in a given multilingual text by the machine. This paper compares the different models of machine learning algorithm in the context of language identification. The corpus includes five major Indo-Aryan Language which are closely related to each other like Hindi, Bhojpuri, Awadhi, Maghahi and Braj. In this paper I have compared models like Random forest classifier, SVC, SGD Classifier, Multi-nominal logistic Regression, Gaussian Naïve Bayes and Bernoulli Naïve Bayes. Out of these models Multi-nominal Naïve Bayes has attained the best accuracy of 74 %.

Last modified: 2021-06-26 18:42:03