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Information Model for the Impact of English Language on Croatian Language for the year 2022. (CROSBI ID 601933)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Brešan, Tanja ; Vidučić, Vinko Information Model for the Impact of English Language on Croatian Language for the year 2022. // Recent Advances in Knowledge Engineering and System Science / Chen, Zengshi ; Lopez-Neri, Emmanuel (ur.). Cambridge: WSEAS Press, 2013. str. 32-37

Podaci o odgovornosti

Brešan, Tanja ; Vidučić, Vinko

engleski

Information Model for the Impact of English Language on Croatian Language for the year 2022.

The goal of this research has been to define indirect growth rates of the variables of the information model for the impact of English language on Croatian language for the year 2022, through their synergic relationship. The information model has determined the individual influence of indirect growth rates of the remaining variables on the selected variable. The largest individual influence has been exerted by the variable morphological level on the variables orthographic level, syntactic level and lexical level. The impact of the indirect growth rate of the morphological level on the remaining variables amounts to 40.0 %. The second largest individual influence on the indirect growth rates of the remaining variables has been exerted by the variable lexical level. Its impact on the variables orthographic level and syntactic level amounts to 33.3 %.

interference; spelling; phonology; morphology; syntax; vocabulary; growth; matrix

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Podaci o prilogu

32-37.

2013.

objavljeno

Podaci o matičnoj publikaciji

Recent Advances in Knowledge Engineering and System Science

Chen, Zengshi ; Lopez-Neri, Emmanuel

Cambridge: WSEAS Press

978-1-61804-162-3

Podaci o skupu

12th International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases (AIKED '13)

predavanje

20.02.2013-22.02.2013

Cambridge, Ujedinjeno Kraljevstvo

Povezanost rada

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