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Towards Automatic Metaphor Processing in Czech

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F16%3A73590172" target="_blank" >RIV/61989592:15210/16:73590172 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Towards Automatic Metaphor Processing in Czech

  • Original language description

    The aim of this article is to suggest possible ways to design an algorithm for automatic metaphor processing, more precisely automatic metaphor identification task. We argue that metaphor is ubiquitous phenomenon and the successful handling of the task could be beneficial for both NLP and metaphor research in linguistics and cognitive sciences. To support that claim several corpus studies on metaphor are presented and we also conducted two simple experiments on Czech. We suggest that most efficient way to introduce algorithm for automatic metaphor identification in Czech is building on method of (Turney et al. 2011). We also propose several modifications and enhancements in algorithm in order to increase its performance.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    60203 - Linguistics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Czech and Slovak Linguistic Review

  • ISSN

    1805-1502

  • e-ISSN

  • Volume of the periodical

    2016

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    10

  • Pages from-to

    5-14

  • UT code for WoS article

  • EID of the result in the Scopus database