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