Comparison of different similarity functions on Hindi QA system

Abstract

This paper discusses a comparative analysis of different similarity measures for Hindi question answering system using machine learning approach from information retrieval and classification perspectives. Many machine learning tasks require similarity functions that evaluate likeness between examinations. Similarity computations are particularly important for clustering that depends on precise estimate of the distance between data points. This framework is considered for data matching for multiphrase words and misspelled words.