Word Sense Disambiguation in Telugu Language Using Knowledge-Based Approach

  • Neeraja KoppulaEmail author
  • B. Padmaja Rani
  • Koppula Srinivas Rao
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1090)


In NLP, many languages will have many ambiguous words, and finding the correct meaning of an ambiguous word is known as word sense disambiguation. This research article is to develop a WSD system for regional Telugu language. Word sense disambiguation system can be developed using three approaches; in this work, we are using knowledge-based approach, where the accuracy is more than unsupervised approaches. In regional Telugu language, research work on word sense disambiguation is not up to the mark. In English and Hindi languages, word sense disambiguation systems are developed using all the three approaches.


Word sense disambiguation Telugu language Knowledge-based approach NLP 



I would like to thank Dr. B. Padamaja Rani for her continuous support. I would like to thank Dr. K. Srinivas Rao for his valuable suggestions. Finally, I would like to extend my thanks to the management of MLR Institute of Technology for providing excellent infrastructure to complete this research work.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Neeraja Koppula
    • 1
    Email author
  • B. Padmaja Rani
    • 2
  • Koppula Srinivas Rao
    • 1
  1. 1.Department of CSEMLR Institute of TechnologyHyderabadIndia
  2. 2.Department of CSEJNTUCEHHyderabadIndia

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