POS Tagger for Hindi Language

Abstract

Part-of-Speech tagging, also called as POS tagging, can be defined as method of tagging language words according to its grammar category. For English language, there are a lot of POS taggers available currently, but they cannot work as same for Hindi language as these two languages have so many differences such as their formation is totally different. Many have attempted to develop a good POS tagger for Hindi but the structure and its complexity makes it very difficult. Basic aim is to perform part of speech tagging for Hindi Language. One of the reasons behind this is that the numbers of Hindi files are increasing in bulk on World Wide Web daily. So, it has become essential to process these files. POS tagging of Hindi language is in itself a very difficult task because not much research has been done in this area. Building a Hindi POS tagger need a good amount of linguistic knowledge. Based on this, Hindi POS tagger has been built using various approaches. One of the approaches is to assign tag using machine learning algorithm. Our aim is to build POS tagger using one such approach. We are using simple Hidden Markov Model approach to achieve Hindi POS tagging.