engleski

Comparison of the language networks from different text types and languages

For text types differentiation we study the linguistic networks from literature and blogs. The linguistic networks are constructed from texts as directed and weighted co-occurrence networks of words. The comparison of the networks structure is performed at global level in terms of: average node degree, average shortest path length, diameter, clustering coefficient, density and number of components. Furthermore, we perform analysis on the local level by comparing the rank plots of in and out degree, strength and selectivity. The selectivity-based measure points to the differences between the structure of the networks from literature and blogs. Further, we compared the properties of linguistic networks for Croatian, English and Italian languages. We constructed co-occurrence networks from parallel text corpora, consisting of the translations of five books in the three languages. We compared an Erdös-Rényi random graph with the same number of nodes and links with linguistic co-occurrence networks. Furthermore, the comparison of Croatian, English and Italian linguistic networks showed that, besides expected commonalities of networks, there are also certain differences. The networks’ measures across the three studied languages differ particularly in the average path length.

linguistic networks; co-occurrence networks; text differentiation; parallel texts

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