A Comparative Analysis of Pre-Processing Time in Summary of Hindi Language using Stanza and Spacy. Issue 1 (March 2021)

• Record Type: Journal Article
• Authors: Kumar, Atul; Katiyar, Vinodani; Kumar, Pankaj
• Is Part Of: IOP conference series. Volume 1110:Issue 1(2021)
• Publication Date: 2021-03
• Subjects: Stanza -- Spacy -- Pre-processing time -- Summarizer -- Natural Language Processing -- Tokenization -- Segmentation -- Stemming -- Lemmatization.; Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/1110/1/012019
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: Text summarization is a method or say way for converting large texts into smaller ones by keeping all important points of the larger text as it is in the smaller ones and giving the output in the modified form called summary of original text document. This task is very difficult for humans as it required large amount of rigorous analysis of the document. In this proposed paper we are comparing pre-processing time for two tools of natural language processing one is STANZA and the other is SPACY both are based on modern technologies and are examine for HINDI language processing. In this paper we are preforming a comparative study of both the tools on the bases of their pre-processing time for processing HINDI language. Now a days, a lot of text summarizer tools are present in the environment and we are keen to use them but here the point of this paper comes into light that how we know which Summarizer is fast enough to get us the same accuracy.