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Povej mi karkoli in povem ti, kdo si : ugotavljanje avtorstva besedil
ID Zwitter Vitez, Ana (Author)

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Abstract
V prispevku poudarjamo pomen interdisciplinarne raziskave jezikovnih parametrov, ki omogočajo ugotavljanje avtorstva ali profiliranje avtorja besedila v forenzičnem, literarnozgodovinskem ali gospodarskem kontekstu (anonimna grozilna pisma, literarna besedila neznanega izvora, profiliranje strank). Ker je tovrstne analize za slovenščino težko najti, predlagamo metodologijo luščenja skladenjskih, leksikalnih, semantičnih in znakovnih parametrov za potrebe kvantitativne obravnave avtorjevega osebnega sloga.

Language:Slovenian
Keywords:slovenščina, slovenska besedila, avtorstvo, preverjanje avtorstva, literarni stil, korpusi (jezikoslovje), jezikovne tehnologije
Work type:Article
Typology:1.16 - Independent Scientific Component Part or a Chapter in a Monograph
Organization:FF - Faculty of Arts
Year:2011
Number of pages:Str. 565-570
PID:20.500.12556/RUL-150654 This link opens in a new window
UDC:811.163.6'42:347.78
COBISS.SI-ID:33343533 This link opens in a new window
Publication date in RUL:21.09.2023
Views:1050
Downloads:39
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Record is a part of a monograph

Title:Meddisciplinarnost v slovenistiki
Editors:Simona Kranjc
Place of publishing:Ljubljana
Publisher:Znanstvena založba Filozofske fakultete
Year:2011
ISBN:978-961-237-461-7
COBISS.SI-ID:258646784 This link opens in a new window
Collection title:Obdobja
Collection numbering:30

Secondary language

Language:English
Abstract:
The paper shows the importance of an interdisciplinary analysis of linguistic features that enable authorship detection or author profiling in a forensic, literary, or economic context (anonymous threats, literary texts of unknown authorship, client profiling). It also highlights the lack of realised analyses for Slovene, and outlines the methodology of extracting syntactic, lexical, semantic, and character features in order to quantify the author's personal style in Slovene.

Keywords:Slovene language, Slovenian texts, authorship, autorship detection, literary style, corpora (linguistics), authorship attribution, author profiling, linguistic features, language technologies

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