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Idiomatic Expressions in VerbaLex

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00099004" target="_blank" >RIV/00216224:14330/17:00099004 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Idiomatic Expressions in VerbaLex

  • Original language description

    Idiomatic expressions are part of everyday language, therefore NLP applications that can ``understand'' idioms are desirable. The nature of idioms is somewhat heterogenous - idioms form classes differing in many aspects (e.g. syntactic structure, lexical and syntactic fixedness). Although dictionaries of idioms exist, they usually do not contain information about fixedness or frequency since they are intended to be used by humans, not computer programs. In this work, we propose how to deal with idioms in the valency lexicon VerbaLex using automatically extracted information from the largest dictionary Czech idioms and a web corpus.

  • 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

    <a href="/en/project/LM2015071" target="_blank" >LM2015071: Language Research Infrastructure in the Czech Republic</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • 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 Eleventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2017

  • ISBN

    9788026313403

  • ISSN

    2336-4289

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    59-67

  • Publisher name

    Tribun EU

  • Place of publication

    Brno

  • Event location

    Karlova Studánka

  • Event date

    Dec 1, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000426613500007