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The authors present the first Support Vector Machines (SVM) based statistical Parts of Speech (POS) Tagger developed for Bhojpuri. Bhojpuri is a less resourced Indo Aryan language of the Asian continent and the POS tagger presented here is a step towards developing language resources for it. SVMs have already been trained on other languages like Malayalam and Bengali with an accuracy of 86-90 %. The present research came up with approximately 87.3 -88.6% accuracy for test datasets.

Added on June 6, 2016

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  • Contributed by : Atul
  • Product Type : Research Paper
  • License Type : Freeware
  • System Requirement : Not Applicable
  • Author : Srishti Singh ,Girish Nath Jha
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