An Evolutionary approach for Candidate Set generation with String Transformation Technique
B. Srinivas Reddy · 2014
String Transformation is still an important research issue in the field of natural language processingand search engine optimization, Even though various traditional approaches available for string transformation they are not optimal because of Accuracy and efficiency are the basic parameters to optimize. While generation of the output Strings, Initially we consider the set of similar keywords. In this paper we are proposing an efficient approach of String transformation with Candidate generation and Selection and Query Reformulation, for the generation of the candidate sets we are proposing an evolutionary approach for the correction of the misspelled words(deletion, insertion or substitution) either by single character or substring.