OntoSenseNet: A Verb-Centric Ontological Resource for Indian Languages
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AFICG884D" target="_blank" >RIV/00216208:11320/23:FICG884D - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149966896&doi=10.1007%2f978-3-031-23804-8_3&partnerID=40&md5=a36746305770ea60a31e6e51b9d699a0" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149966896&doi=10.1007%2f978-3-031-23804-8_3&partnerID=40&md5=a36746305770ea60a31e6e51b9d699a0</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-23804-8_3" target="_blank" >10.1007/978-3-031-23804-8_3</a>
Alternative languages
Result language
angličtina
Original language name
OntoSenseNet: A Verb-Centric Ontological Resource for Indian Languages
Original language description
"Following approaches for understanding lexical meaning developed by Yāska, Patanjali and Bhartrihari from Indian linguistic traditions and extending approaches developed by Leibniz and Brentano in the modern times, a framework of formal ontology of language was developed. This framework proposes that meaning of words are in-formed by intrinsic and extrinsic ontological structures. The paper aims to capture such intrinsic and extrinsic meanings of words for two major Indian languages, namely, Hindi and Telugu. Parts-of-speech have been rendered into sense-types and sense-classes. Using them we have developed a gold-standard annotated lexical resource to support semantic understanding of a language. The resource has collection of Hindi and Telugu lexicons, which has been manually annotated by native speakers of the languages following our annotation guidelines. Further, the resource was utilised to derive adverbial sense-class distribution of verbs and kāraka-verb sense-type distribution. Different corpora (news, novels) were compared using verb sense-types distribution. Word Embedding was used as an aid for the enrichment of the resource. This is a work in progress that aims at lexical coverage of language extensively. © 2023, Springer Nature Switzerland AG."
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
"Lect. Notes Comput. Sci."
ISBN
978-303123803-1
ISSN
0302-9743
e-ISSN
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Number of pages
14
Pages from-to
32-45
Publisher name
Springer Science and Business Media Deutschland GmbH
Place of publication
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Event location
Melaka, Malaysia
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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