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Jezik slovenskih tvitov : korpusna raziskava
ID Erjavec, Tomaž (Author), ID Fišer, Darja (Author)

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Abstract
V prispevku predstavimo korpus in analizo nestandardne slovenščine z družbenega omrežja Twitter. Korpus, ki vključuje tvite iz prvih štirih let obstoja omrežja, vsebuje 360.000 tvitov oz. pet milijonov besed. Slovenščina, uporabljena v njih, je zelo bogata in se precej razlikuje od slovenščine, uporabljene v slovenskem uravnoteženem korpusu ccKRES, in sicer predvsem po pogovorni, bolj fonetični ortografiji, rabi prvin, ki so bolj značilne za govorjeni jezik, ter po pogosti rabi tujejezičnih besed.

Language:Slovenian
Keywords:tviti, nestandardna slovenščina, korpusna analiza, ortografija, besedišče
Work type:Article
Typology:1.16 - Independent Scientific Component Part or a Chapter in a Monograph
Organization:FF - Faculty of Arts
Year:2013
Number of pages:Str. 109-116
PID:20.500.12556/RUL-147644 This link opens in a new window
UDC:004.773:811.163.6'276'354
COBISS.SI-ID:53226594 This link opens in a new window
Publication date in RUL:10.07.2023
Views:150
Downloads:12
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Record is a part of a monograph

Title:Družbena funkcijskost jezika : (vidiki, merila, opredelitve)
Editors:Andreja Žele
Place of publishing:Ljubljana
Publisher:Znanstvena založba Filozofske fakultete
Year:2013
ISBN:978-961-237-609-3
COBISS.SI-ID:269357568 This link opens in a new window
Collection title:Obdobja
Collection numbering:32
Collection ISSN:1408-211X

Secondary language

Language:English
Abstract:
This paper presents a corpus of Slovene tweets and the analysis of non-standard Slovene as used on the Twitter social network. The corpus, which comprises tweets from the first four years of Twitterʼs existence, contains 360,000 tweets or 5 million tokens. The Slovene used in the analysed tweets issubstantially different from the balanced corpus of standard Slovene ccKRES.The distinguishing features of ŽTwitter SloveneŽ are a more colloquial,phonetic orthography, frequent use of spoken language elements and an abundance of foreign words.

Keywords:Tweets, non-standard Slovene, corpus analysis, orthography, vocabulary

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