A Customized Adaptation of Traditional Lesk Method for Sense Disambiguation of Punjabi Words from Medical Domain

Abstract

We report in this paper a way of doing Word Sense Disambiguation (WSD) that has its origin in multilingual MT. Various Machine Learning approaches have been demonstrated to produce relatively successful Word Sense Disambiguation systems. For English and other European languages, a lot of research has been done. Indian languages are still intact in this area. A WordNet for Indian languages, IndoWordNet was developed by IIT Bombay which is the only source of information when it comes to Indian languages. We have proposed a algorithm for disambiguating polysemous words in Punjabi words particularly belonging to medical domain and compared the results with the classical Lesk algorithm.

Authors and Affiliations

Jaskiran Kaur, Amardeep Singh

Keywords

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  • EP ID EP20846
  • DOI -
  • Views 280
  • Downloads 4

How To Cite

Jaskiran Kaur, Amardeep Singh (2015). A Customized Adaptation of Traditional Lesk Method for Sense Disambiguation of Punjabi Words from Medical Domain. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(5), -. https://europub.co.uk/articles/-A-20846