Initial Comparison of Linguistic Networks Measures for Parallel Texts

8 May 2014  ·  Kristina Ban, Ana Meštrović, Sanda Martinčić-Ipšić ·

This paper presents preliminary results of Croatian syllable networks analysis. Syllable network is a network in which nodes are syllables and links between them are constructed according to their connections within words... In this paper we analyze networks of syllables generated from texts collected from the Croatian Wikipedia and Blogs. As a main tool we use complex network analysis methods which provide mechanisms that can reveal new patterns in a language structure. We aim to show that syllable networks have much higher clustering coefficient in comparison to Erd\"os-Renyi random networks. The results indicate that Croatian syllable networks exhibit certain properties of a small world networks. Furthermore, we compared Croatian syllable networks with Portuguese and Chinese syllable networks and we showed that they have similar properties. read more

PDF Abstract
No code implementations yet. Submit your code now

Tasks


Datasets


  Add Datasets introduced or used in this paper

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods


No methods listed for this paper. Add relevant methods here