Extending Czech WordNet Using a Bilingual Dictionary

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00059218" target="_blank" >RIV/00216224:14330/12:00059218 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Extending Czech WordNet Using a Bilingual Dictionary

Popis výsledku v původním jazyce

In this paper we describe semi-automatical extending of the Czech WordNet lexical database (48,000 literals in 28,000 synsets) by translation of English literals from existing synsets in Princeton WordNet. We make use of a machine-readable bilingual dictionary to extract English-Czech translation pairs, search the English literals in Princeton WordNet and in case of a high-confidence match we transfer the literal into Czech WordNet. Along with literals, new synsets parallel to the English ones and identified by ILI are introduced into CzechWordNet, including information on their ILR (Internal Language Relations) such as hypernymy/hyponymy. The paper describes the parsing of the dictionary data, extraction of translation pairs and the criteria used forestimating the confidence level of a match. Results of the work are 36,228 added literals and 12,403 created synsets. An overview of previous similar attempts for other languages is also included.

Název v anglickém jazyce

Extending Czech WordNet Using a Bilingual Dictionary

Popis výsledku anglicky

In this paper we describe semi-automatical extending of the Czech WordNet lexical database (48,000 literals in 28,000 synsets) by translation of English literals from existing synsets in Princeton WordNet. We make use of a machine-readable bilingual dictionary to extract English-Czech translation pairs, search the English literals in Princeton WordNet and in case of a high-confidence match we transfer the literal into Czech WordNet. Along with literals, new synsets parallel to the English ones and identified by ILI are introduced into CzechWordNet, including information on their ILR (Internal Language Relations) such as hypernymy/hyponymy. The paper describes the parsing of the dictionary data, extraction of translation pairs and the criteria used forestimating the confidence level of a match. Results of the work are 36,228 added literals and 12,403 created synsets. An overview of previous similar attempts for other languages is also included.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/LC536" target="_blank" >LC536: Centrum komputační lingvistiky</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

6th International Global Wordnet Conference Proceedings

ISBN

9788026302445

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

50-55

Název nakladatele

Toyohashi University of Technology

Místo vydání

Matsue, Japan

Místo konání akce

Matsue, Japan

Datum konání akce

9. 1. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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