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Pregled bibliografske jedinice broj: 839190

Text Type Differentiation Based on the Structural Properties of Language Networks


Martinčić-Ipšić, Sanda; Miličić, Tanja; Meštrović, Ana
Text Type Differentiation Based on the Structural Properties of Language Networks // Information and Software Technologies, Vol. 639 / Dregvaite, G. ; Damasevicius, R. (ur.).
Kaunas: Springer International Publishing, 2016. str. 536-548 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Text Type Differentiation Based on the Structural Properties of Language Networks

Autori
Martinčić-Ipšić, Sanda ; Miličić, Tanja ; Meštrović, Ana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Information and Software Technologies, Vol. 639 / Dregvaite, G. ; Damasevicius, R. - Kaunas : Springer International Publishing, 2016, 536-548

ISBN
978-3-319-46253-0

Skup
22nd International Conference on Information and Software Technologies, ICIST 2016

Mjesto i datum
Druskininkai, Lithuania, 13-15.10.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Text type; complex network; langauge network

Sažetak
In this paper co-occurrence language network measures from literature and legal texts are compared on the global and on the local scale. Our dataset consists of four legal texts and four short novellas both written in English. For each text we construct one directed and weighted network, where weight of a link between two nodes represents overall co- occurrence frequencies of the corresponding words. We choose four literature-law pairs of texts with approximately the same number of different words for comparison. The aim of this experiment was to investigate how complex network measures operate in different structures of texts and which of them are sensitive to different text types. Our results show that on the global scale only average strength is the measure that exhibit some uniform behaviour due to the differences in textual complexity. In general, global measures may not be well suited to discriminate between mentioned genres of texts. However, local perspective rank plots of in and out selectivity (average node strength) indicate that there are more noticeable structural differences between legal texts and literature.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti



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