Title: Word Sense Disambiguation for Hindi by Genetic Algorithm


Volume 9 Issue 1 Year 2019

Authors:

Anidhya Athalya

anidhya.athaiya1409@gmail.com
Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan Jaipur-302017, (INDIA),

Deepa Modi

deepa.modi22@gmail.com
Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan Jaipur-302017, (INDIA),

Vipin Jain

ervipin.skit@gmail.com
Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan Jaipur-302017, (INDIA)

Pages: 7-10


Abstract:

Word Sense Disambiguation (WSD) is a  method of selecting the correct sense or meaning for a word in a context. WSD is a primary task in computational linguistics for language understanding applications such as information retrieval, question answering, machine translation, text summarization and many more. There have been many attempts on word sense disambiguation for English, but the amount of attempts for Hindi is inadequate. This paper proposes ongoing efforts on establishing a word sense disambiguation algorithm using Hindi WordNet developed at IIT Bombay as a base and intend to determine the correct sense of the given ambiguous word in Hindi language. A dynamic context window is used. Dynamic context window is the number of lefts and right word of ambiguous word. The cardinal idea behind this approach is that the target word which has the same meaning must have a common topic in
its neighborhood.

Keywords:
Words Sense Disambiguation, Hindi Wordnet, Natural Language Algorithm, Ambiguous words