2020
DOI: 10.11649/a.2227
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Słowniki w dobie digitalizacji na przykładzie Słownika wyrazów bliskoznacznych współczesnego języka słoweńskiego (Slovar sopomenk sodobne slovenščine)

Abstract: Dictionaries in the Age of Digitisation: An Example of the Thesaurus of Modern Slovene (Slovar sopomenk sodobne slovenščine)The digital revolution enables publishing dictionaries in a digital version, which significantly facilitates access to them by their users, who are no longer mere recipients of the content: their potential is viewed as useful in (co-)editing dictionaries. These changes also enable the introduction of new solutions to improve editorial work. One case in point is the Thesaurus of Modern Slo… Show more

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(5 citation statements)
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“…This proves that the usersuggested synonyms are in principle relevant and constructive. While this result is more or less an estimate, since averages were used and since it focuses only on pairs with at least high IAA, it follows the generalisation made in the feasibility study (Gapsa 2022), where 71% of the Students' answers were either YES or CONDITIONAL YES, and supports to some extent the results of the preliminary study by Arhar Holdt and Čibej (2020, p. 6), where after analysing a balanced subsample of 1,662 user-suggested synonyms (a maximum of 10 suggestions per user), about 70% of user suggestions were both constructive and unmarked, about 20% were constructive and marked, and just over 6% were unconstructive or malicious. The 31 pairs without NO answers (see Section 4.2) have in common that the user-suggested synonyms are mostly colloquial or spoken expressions (e.g.…”
Section: Limitationsmentioning
confidence: 64%
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“…This proves that the usersuggested synonyms are in principle relevant and constructive. While this result is more or less an estimate, since averages were used and since it focuses only on pairs with at least high IAA, it follows the generalisation made in the feasibility study (Gapsa 2022), where 71% of the Students' answers were either YES or CONDITIONAL YES, and supports to some extent the results of the preliminary study by Arhar Holdt and Čibej (2020, p. 6), where after analysing a balanced subsample of 1,662 user-suggested synonyms (a maximum of 10 suggestions per user), about 70% of user suggestions were both constructive and unmarked, about 20% were constructive and marked, and just over 6% were unconstructive or malicious. The 31 pairs without NO answers (see Section 4.2) have in common that the user-suggested synonyms are mostly colloquial or spoken expressions (e.g.…”
Section: Limitationsmentioning
confidence: 64%
“…The improved methodology is presented here, as some aspects of the evaluation have already been tested in a feasibility study (see Gapsa, 2022). The dataset for the evaluation is based on the dataset for PhD dissertation, which includes a total of 546 nouns.4 For this evaluation, the dissertation dataset was additionally supplemented with data on user-suggested synonyms in the Thesaurus 1.0.5 The nal evaluation set comprised 972 synonym pairs, arranged alphabetically by headword.…”
Section: Methodsmentioning
confidence: 99%
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