Rule Based Hindi Part of Speech Tagger
Navneet Garg, Vishal Goyal, Suman Preet · International Conference on Computational Linguistics · 2012
Part of Speech Tagger is an important tool that is used to develop language translator and information extraction. The problem of tagging in natural language processing is to find a way to tag every word in a sentence. In this paper, we present a Rule Based Part of Speech Tagger for Hindi. Our System is evaluated over a corpus of 26,149 words with 30 different standard part of speech tags for Hindi. The evaluation of the system is done on the different domains of Hindi Corpus. These domains include news, essay, and short stories. Our system achieved the accuracy of 87.55%.