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 Analysis of Family Relationships of the Characters in the SrpELTeC Corpus Based on Semantic Web Techniques and Textometry / Milica Ikonić Nešić = Analiza porodičnih odnosa likova korpusa SrpELTeC zasnovana na tehnikama semantičkog veba i tekstometriji / Milica Ikonić Nešić[About]



En/De/Fr/It- (first 9 out of 281 sentences) [pdf] Srpski - (prvih 9 od 281 rečenica) [pdf]
n1ABSTRACT: This paper presents an analysis of family relationships of characters in the SrpELTeC collection of Serbian novels published between 1840 and 1920, using a textometric approach and semantic web techniques. n1SAŽETAK: U radu je predstavljena analiza porodičnih odnosa likova u kolekciji SrpELTeC srpskih romana objavljenih od 1840. do 1920. godine, kroz tekstometrijski pristup i tehnike semantičkog veba.
n2The study explores the appearance of family relationships between literary characters in the corpus in regards to the periods in which the novels were written, as well as to the authors of the novels. n2Istraženo je pojavljivanje porodičnih odnosa između književnih likova u korpusu u odnosu na periode pisanja romana, kao i u zavisnosti od pisca dela.
n3Taking into account the overlap between the literary movements of Romanticism and Realism during the aforementioned periods, the analysis examines in which direction family relationships are more prevalent, and whether male characters are more represented than female characters in the collection. n3Uzimajući u obzir preplitanje književnih pravaca romantizma i realizma u periodu pisanja romana, ispitano je u kom su pravcu porodični odnosi zastupljeniji, kao i da li je u kolekciji broj muških likova zastupljeniji od ženskih.
n4Visualizations of the relationships between characters are presented through linking the characters with novels in Wikidata and by expressing SPARQL queries, as well as through the network analysis using the Gephi tool. n4Vizuelizacije odnosa među likovima predstavljene su kroz povezivanje likova sa romanima u vikipodacima i postavljanjem SPARQL upita, kao i mrežnom analizom korišćenjem alata Gephi.
n5KEYWORDS: SrpELTeC, family relationships, literary characters, Wikidata, Gephi, SPARQL n5KLjUČNE REČI: SrpELTeC, porodični odnosi, književni likovi, vikipodaci, Gephi, SPARQL.
n6The sub-collection of Serbian novels (referred to as SrpELTeC) (Krstev and Stanković 2022, 2020; Stanković et al. 2022; Patras et al. 2020) was developed under the auspices of the COST Action CA16204 Distant Reading for European Literary History. n6Potkolekcija srpskih romana (nazvana SrpELTeC) (Krstev and Stanković 2022, 2020; Stanković et al. 2022; Patras et al. 2020) nastala je pod okriljem COST akcije CA16204 Distant Reading for European Literary History (Udaljeno čitanje za evropsku istoriju književnosti).
n7One of the main objectives of this Action was to form a multilingual corpus (named the European Literary Text Collection - ELTeC), consisting of 100 novels, first published between 1840 and 1920, in twelve European languages, which comprises its language sub-collections (Odebrecht, Burnard, and Schöch 2021). n7Jedan od najvažnijih ciljeva ove akcije bio je priprema višejezičnog korpusa (nazvanog European Literary Text Collection – ELTeC) koji sadrži po 100 romana2 prvi put objavljenih u periodu 1840–1920. za dvanaest evropskih jezika, koji čine njegove jezičke potkolekcije (Odebrecht, Burnard, and Schöch 2021).
n8The Serbian subcollection of novels contains 5,886,528 tokens and 4,769,262 words. n8Srpska potkolekcija romana ima 5.886.528 tokena i 4.769.262 reči,
n9All words are annotated with part-of-speech tags and lemmas (Stanković et al. 2020; Frontini et al. 2020). Also, all words contain information about named entities (Stanković et al. 2019), thus enabling the application of advanced text analysis methods in accordance with the distant reading paradigm. n9sve reči su anotirane vrstom reči i lemom (Stanković et al. 2020; Frontini et al. 2020) i informacijom o imenovanim entitetima (Stanković et al. 2019), što otvara mogućnost primene naprednih metoda analize teksta, u skladu sa paradigmom udaljenog čitanja.