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Spletni portal Slogovni priročnik : luščenje in prikaz podatkov o jezikovni rabi
ID
Dobrovoljc, Kaja
(
Author
),
ID
Krek, Simon
(
Author
)
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https://centerslo.si/simpozij-obdobja/zborniki/obdobja-32/
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Abstract
V prispevku predstavljamo proces luščenja in prikazovanja korpusnih podatkov, kakršen je bil vzpostavljen pri pripravi demonstracijskih gesel na spletnem portalu Slogovni priročnik. Kot most med nevtralnimi korpusnimi podatki in vizualizacijo normativnih podatkov na portalu služi leksikon besednih oblik, njihovo pretakanje iz leksikona na portal pa usmerja mehanizem kratkega odgovora, ki omogoča, da se podatki na portalu avtomatsko prilagajajo spremembam v jeziku oz. referenčnem korpusu.
Language:
Slovenian
Keywords:
spletni portal
,
jezikovni priročniki
,
standardizacija
,
pravopis
,
jezikovne tehnologije
,
luščenje podatkov
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. 101-107
PID:
20.500.12556/RUL-147643
UDC:
81'22:004.8
COBISS.SI-ID:
27588391
Publication date in RUL:
10.07.2023
Views:
881
Downloads:
41
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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
Collection title:
Obdobja
Collection numbering:
32
Collection ISSN:
1408-211X
Secondary language
Language:
English
Abstract:
The paper presents the process of corpus data extraction and representation for the purpose of creating the Style Guide web portal for Slovene. The neutral corpus data and information about language codification are merged within a lexicon of inflected forms and subsequently visualised through the šshort answer’ system that enables the portal data to automatically adapt to any changes in the language or its reference corpus.
Keywords:
web portal
,
language reference books
,
standardisation
,
normative guide
,
language technologies
,
data extraction
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