DocumentCode :
174552
Title :
Text summarization for Malayalam documents — An experience
Author :
Kabeer, Rajina ; Idicula, Sumam Mary
Author_Institution :
Dept. of Comput. Sci., Cochin Univ. of Sci. & Technol., Kochi, India
fYear :
2014
fDate :
26-28 Aug. 2014
Firstpage :
145
Lastpage :
150
Abstract :
The amount of data available in the internet is increasing at a very high speed. Text summarization has helped in making a better use of the information available online. Various methods were adopted to automate text summarization. However there is no existing system for summarizing Malayalam documents. In this paper we have investigated on developing efficient and effective methods to summarize Malayalam documents. This paper explains a statistical sentence scoring technique and a semantic graph based technique for text summarization.
Keywords :
Internet; text analysis; Internet; Malayalam documents; semantic graph; statistical sentence scoring; text summarization; Data mining; Dictionaries; Feature extraction; Hidden Markov models; Object recognition; Semantics; Tagging; Sentence scoring; clause; keyword; object; predicate; semantic graph; semantic triples; sentence generation; sub graph; subject; suffix; tagging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Science & Engineering (ICDSE), 2014 International Conference on
Conference_Location :
Kochi
Print_ISBN :
978-1-4799-6870-1
Type :
conf
DOI :
10.1109/ICDSE.2014.6974627
Filename :
6974627
Link To Document :
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