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