Corpus Based Identification of Czech Light Verbs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10194647" target="_blank" >RIV/00216208:11320/13:10194647 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Corpus Based Identification of Czech Light Verbs
Original language description
In this paper, we describe a corpus based experiment focused on the possibility of identifying Czech light verbs. The experiment had two main aims: (i) to establish the inventory of Czech light verbs entering into combinations with predicative nouns, and(ii) to verify the adopted criteria for distinguishing light usages from full usages of the given verbs. As for the inventory of light verbs, we propose and verify the hypothesis that the possibility of light usages of verbs is related to their semanticclass membership rather than to their high frequency. In the second part of the experiment, we exploited the compiled inventory of Czech verbs inclined to occur as light verbs. The criteria adopted for distinguishing light usages of a verb from its fullones were applied to selected corpus sentences with these verbs. Three annotators were asked to determine whether a verb occurrence in an extracted corpus sentence corresponds to the full or to the light usage of the given verb. The feas
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Seventh International Conference Slovko 2013; Natural Language Processing, Corpus Linguistics, E-learning
ISBN
978-3-942303-18-7
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
118-128
Publisher name
RAM-Verlag
Place of publication
Lüdenscheid, Germany
Event location
Bratislava, Slovakia
Event date
Nov 13, 2013
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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