korpusna raziskava
Tomaž Erjavec (Author), Darja Fišer (Author)

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.

Keywords

tviti;nestandardna slovenščina;korpusna analiza;ortografija;besedišče;

Data

Language: Slovenian
Year of publishing:
Typology: 1.16 - Independent Scientific Component Part or a Chapter in a Monograph
Organization: UL FF - Faculty of Arts
UDC: 004.773:811.163.6'276'354
COBISS: 53226594 Link will open in a new window
Views: 9
Downloads: 0
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Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
Secondary 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.
Secondary keywords: Tweets;non-standard Slovene;corpus analysis;orthography;vocabulary;
Type (COBISS): Article
Pages: Str. 109-116
ID: 19519220