PRESERVED NETWORK METRICS ACROSS TRANSLATED TEXTS

Josephine Jill T. Cabatbat (), Jica P. Monsanto and Giovanni A. Tapang
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Josephine Jill T. Cabatbat: National Institute of Physics, University of the Philippines-Diliman, Diliman, Quezon 1101, Philippines
Jica P. Monsanto: National Institute of Physics, University of the Philippines-Diliman, Diliman, Quezon 1101, Philippines
Giovanni A. Tapang: National Institute of Physics, University of the Philippines-Diliman, Diliman, Quezon 1101, Philippines

International Journal of Modern Physics C (IJMPC), 2014, vol. 25, issue 02, 1-9

Abstract: Co-occurrence language networks based on Bible translations and the Universal Declaration of Human Rights (UDHR) translations in different languages were constructed and compared with random text networks. Among the considered network metrics, the network size,N, the normalized betweenness centrality (BC), and the averagek-nearest neighbors,knn, were found to be the most preserved across translations. Moreover, similar frequency distributions of co-occurring network motifs were observed for translated texts networks.

Keywords: Language networks; language translation; motifs; complex systems; 89.75.-k; 89.75.Fb (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1142/S0129183113500927

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