Computational Analysis of Part of Speech Tagging

In order, to make text a suitable input to an automatic method of information extraction it is usually transformed from unstructured source of information into a structured format. Part of Speech Tagging is one of the preprocessing steps which assign one of the parts of speech to the given word. In this paper we had discussed various models of supervised and unsupervised technique shown the comparison of various techniques based on accuracy, and experimentally compared the results obtained in models of Condition Random Field and Maximum Entropy model. We had deployed a model of part of speech tagger for which we had compared the results with other models. The developed is based on HMM approach and had shown good results in terms of efficiency in comparison with other models.