DocumentCode :
3625622
Title :
Language Indentification: How to Distinguish Similar Languages?
Author :
Nikola Ljubesic;Nives Mikelic;Damir Boras
Author_Institution :
Department of Information Sciences, Faculty of Philosophy, University of Zagreb, Ivana Lu?i?a 3, 10000 Zagreb, Croatia. E-mail: nljubesi@ffzg.hr
fYear :
2007
fDate :
6/1/2007 12:00:00 AM
Firstpage :
541
Lastpage :
546
Abstract :
The goal of this paper is to discuss the language identification problem of Croatian, language that even state-of-the-art language identification tools find, hard to distinguish from similar languages, such as Serbian, Slovenian or Slovak language. We developed the tool that implements the list of Croatian most frequent words with the threshold that each document needs to satisfy, we added, the specific characters elimination rule, applied second-order Markov model classification and a, rule of forbidden words. Finally, we built up the tool that, overperforms current tools in discriminating between these similar languages.
Keywords :
"Entropy","Vocabulary","Information retrieval","Text mining","Morphology","Frequency","Support vector machines","Kernel","Text categorization","Information technology"
Publisher :
ieee
Conference_Titel :
Information Technology Interfaces, 2007. ITI 2007. 29th International Conference on
ISSN :
1330-1012
Print_ISBN :
953-7138-09-7
Type :
conf
DOI :
10.1109/ITI.2007.4283829
Filename :
4283829
Link To Document :
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