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Year: 2021


Type: Proceedings



Title: Cultural topic modelling over novel wikipedia corpora for south-slavic languages


Author: Markoski, Filip
Author: Markoska, Elena
Author: Ljubešić, Nikola
Author: Zdravevski, Eftim
Author: Kocarev, Ljupco



Abstract: There is a shortage of high-quality corpora for South-Slavic languages. Such corpora are useful to computer scientists and researchers in social sciences and humanities alike, focusing on numerous linguistic, content analysis, and natural language processing applications. This paper presents a workflow for mining Wikipedia content and processing it into linguistically-processed corpora, applied on the Bosnian, Bulgarian, Croatian, Macedonian, Serbian, Serbo-Croatian and Slovenian Wikipedia. We make the resulting seven corpora publicly available. We showcase these corpora by comparing the content of the underlying Wikipedias, our assumption being that the content of the Wikipedias reflects broadly the interests in various topics in these Balkan nations. We perform the content comparison by using topic modelling algorithms and various distribution comparisons. The results show that all Wikipedias are topically rather similar, with all of them covering art, culture, and literature, whereas they contain differences in geography, politics, history and science


Publisher:


Relation: International Conference on Recent Advances in Natural Language Processing (RANLP 2021)



Identifier: oai:repository.ukim.mk:20.500.12188/22315
Identifier: http://hdl.handle.net/20.500.12188/22315



TitleDateViews
Cultural topic modelling over novel wikipedia corpora for south-slavic languages202127