Author : Himanshu Sharma 1
Date of Publication :22nd February 2018
Abstract: Machine Learning can play a vital role in many applications such as data mining, natural language processing, image recognition and expert systems. In the development of natural language system, the corpus based machine learning techniques are widely applied. In this paper, machine learning methods such as classifiers, structured models and unsupervised learning methods are discussed that are applied to natural language processing tasks such as document classification, disambiguation, parsing, tagging, extraction etc. This paper also covers different levels of linguistic analysis: Lexical Analysis, Parsing, Semantic Analysis, Part-of –Speech Tagging and Discourse Knowledge. The aim of this is to provide valuable information for further research.
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