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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

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

  • Number of pages

    14

  • Pages from-to

    32-45

  • Publisher name

    Springer Science and Business Media Deutschland GmbH

  • Place of publication

  • Event location

    Melaka, Malaysia

  • Event date

    Jan 1, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article