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Word sense disambiguation (WSD), the task of identifying the intended sense of words has been a growing research area in the field of natural language processing. In this paper, the authors focused on word sense disambiguation for Hindi language using graph connectivity measures and Hindi WordNet[1]. To construct the graph for the sentence each sense of the(More)
  • Sudesh Yadav
  • 2014
Worms are common phenomenon in today's internet and cause tens of billions of dollars in damages to business around the world each year. In this study author first discuss about Worms, then gave a life-cycle of worm and a brief discussion about different stages of worm life cycle. Finally author gave a broad overview of target finding schemes (blind scan,(More)
Natural Language Processing (NLP) is the most important field of computer science which deals with human language and computers. In India, most of the people live in the rural areas, so they have the problem of understanding English language. To address this issue, we discussed here, about various factors which affect Hindi natural language processing. In(More)
Over the last few decades, face recognition has become a popular area of research in computer vision. It is the most successful application of pattern classification in the field of image analysis and understanding. Despite of all success in face recognition systems, it faces the problem of handling inaccurate information. In this paper, we propose a fuzzy(More)
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