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
Link To Document :
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