Morphological Tagging Based Entirely on Bayesian Inference

Abstract

The influence of various information sources on the ability of a statistical tagger to assign lexical categories to unknown words is investigated.The literal word form is found to be very much more important than other information sources such as the local syntactic context.Different ways of combining information sources are discussed.Methods for improving estimates based on scarce data are proposed and examined experimentally.