SanskritTagger: A stochastic lexical and POS tagger for sanskrit

Abstract

Sanskrit Tagger is a stochastic tagger for unpreprocessed Sanskrit text. The tagger tokenises text and performs part-of-speech tagging using a Markov model. Parameters for these processes are estimated from a manually annotated corpus that currently comprises approximately1,500,000 words. This article sketches the tagging process, reports the results of tagging a few short passages of Sanskrit text and describes further improvements of the program.