DocumentCode
3026796
Title
Comparison of classifier based approach with baseline approach for English-Hindi text simplification
Author
Tyagi, Shruti ; Chopra, Deepti ; Mathur, Iti ; Joshi, Nisheeth
Author_Institution
Dept. of Comput. Sci., Banasthali Univ., Banasthali, India
fYear
2015
fDate
15-16 May 2015
Firstpage
290
Lastpage
293
Abstract
Text Simplification is the combination of Lexical Simplification and Syntactic Simplification. In this paper, we have compared baseline approach of Text Simplification with classifier based approach of Text Simplification in improving the quality of English-Hindi Machine Translation. We have compared both approaches using Human Judgment and using Automatic measures BLEU, F-measure and Meteor.
Keywords
language translation; natural language processing; pattern classification; text analysis; English-Hindi machine translation; English-Hindi text simplification; F-measure; automatic measures BLEU; baseline approach; classifier based approach comparison; human judgment; lexical simplification; meteor; syntactic simplification; Automation; Complexity theory; Computer science; Encyclopedias; Natural languages; Syntactics; Baseline Approach; Classifier based approach; Machine Translation; Text Simplification;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communication & Automation (ICCCA), 2015 International Conference on
Conference_Location
Noida
Print_ISBN
978-1-4799-8889-1
Type
conf
DOI
10.1109/CCAA.2015.7148390
Filename
7148390
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