AUTOMATIC TEXT SUMMARIZATION AND DEADWOOD REMOVAL FOR PUNJABI LANGUAGE
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.4, No. 12)Publication Date: 2015-12-30
Authors : Mohit Kumar; Abhinash Singla;
Page : 46-53
Keywords : Automatic text summarization; Deadwood word and Phrase; Sentence Extraction .;
Abstract
Due to large information over the internet it becomes very difficult and laborious task to get the useful information. Automatic text summarization is one of the techniques which give the shorthand information which is half as the original text. This paper proposes the system to generate summary by using differen t features and the by applying the deadwood rules. Deadwood is the words or phrases in the sentence which can be omitted without losing its original meaning. The first step is Pre - Processing using segmentation, tokenization and stop word removal. After tha t deadwood rules are implemented to shorten the text and then score is calculated over the seventeen features. In last the highest scored sentences a re selected to form the summary
Other Latest Articles
- A BAYESIAN TECHNIQUE FOR IMAGE CLASSIFYING REGISTRATION
- AN EXPERIMENTAL STUDY ON RC CONTINUOUS BEAM STRENGTHENED BY USING FRP SHEET
- A STUDY ON REPRESENTATION AND SUPPORT OF QOS IN UDDI
- AN ENHANCED APPROACH FOR BLIND MEASUREMENTS OF BLOCKING ARTIFACTS IN IMAGES
- OPTIMIZATION AND ANALYSIS OF SLANT BED - A REVIEW
Last modified: 2015-12-08 22:20:50