Paper Title
A Rule based Hybrid Morphological Analyser for Hindi Language towards Multimedia Applications

Abstract
Today is the era of multimedia, where people are not only entertaining themselves, but also learn through it. In this modern era, problem occurs when there is a language barrier, either in entertainment or in learning. Doing translation or transliteration can be strenuous task even for the machines. And even after applying large efforts, sometimes the output is not up to the mark. These problems occur when the words or the lexemes are not tagged with the correct grammatical definition. This paper represents utilization of Morphological Analyser for Hindi sentences, where lexemes are tagged with a 630 plus grammatical tags for a detailed grammatical lexeme output. This will further help different multimedia platforms, where language related tasks are executed. Keywords - Morphological Analyser, Morph, NLP, Hindi, Rule-Based.