Semantic Classes of Czech Verbs

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F09%3A00029755" target="_blank" >RIV/00216224:14330/09:00029755 - 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

Semantic Classes of Czech Verbs

Popis výsledku v původním jazyce

In this paper semantic classes of Czech verbs are presented as they are obtained from the lexical database VerbaLex that has recently been built at the NLP Centre FI MU. At the moment we have in VerbaLex 82 semantic classes covering 10,482 Czech verb lemmata and 19,556 verb valency frames. We discuss the criteria for establishing semantic classes: the most important one is grouping verbs according to their senses. The second one exploits relations between semantic classes of Czech verbs and semantic roles and subcategorization features as they are used in VerbaLex valency frames. We also touch on the issue of the ontology that could be used to describe the meanings of the verbs in the semantic classes. The semantic classification of Czech verbs can beextended for other languages via Interlingual Index (ILI) existing in WordNets and it can be used in the various applications in the NLP area (machine translation, syntactic analysis, semantic search, information extraction and others).

Název v anglickém jazyce

Semantic Classes of Czech Verbs

Popis výsledku anglicky

In this paper semantic classes of Czech verbs are presented as they are obtained from the lexical database VerbaLex that has recently been built at the NLP Centre FI MU. At the moment we have in VerbaLex 82 semantic classes covering 10,482 Czech verb lemmata and 19,556 verb valency frames. We discuss the criteria for establishing semantic classes: the most important one is grouping verbs according to their senses. The second one exploits relations between semantic classes of Czech verbs and semantic roles and subcategorization features as they are used in VerbaLex valency frames. We also touch on the issue of the ontology that could be used to describe the meanings of the verbs in the semantic classes. The semantic classification of Czech verbs can beextended for other languages via Interlingual Index (ILI) existing in WordNets and it can be used in the various applications in the NLP area (machine translation, syntactic analysis, semantic search, information extraction and others).

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GV405%2F96%2FK214" target="_blank" >GV405/96/K214: Čeština ve věku počítačů: Textové korpusy a lexikální i gramatická základna pro rozvoj češtiny v 21. století</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2009

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the Conference on Intelligent Information Systems 2009

ISBN

978-83-60434-59-8

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

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Název nakladatele

IPI PAN Warszava

Místo vydání

Warszava

Místo konání akce

Krakow

Datum konání akce

1. 1. 2009

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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