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Improving Nominalized Adjectives Tagging

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14210%2F19%3A00111124" target="_blank" >RIV/00216224:14210/19:00111124 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.2478/jazcas-2019-0066" target="_blank" >http://dx.doi.org/10.2478/jazcas-2019-0066</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2478/jazcas-2019-0066" target="_blank" >10.2478/jazcas-2019-0066</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Improving Nominalized Adjectives Tagging

  • Original language description

    Part of speech transitions represent an interesting issue in terms of Automatic Morphological Analysis (AMA). In these cases, two parts of speech have to be considered: initial and final. However, their automatic recognition is complicated by the same form. This article presents the results of a corpus study aimed at mapping nominalized adjectives tagging with a focus on detecting candidates for nominalization among frequent adjectives. Analysis of the data obtained from the ČNK SYN v5 corpus shows different reasons for incorrect tagging. Taking into account these reasons, we propose three solutions for the improvement nominalized adjectives tagging.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    60203 - Linguistics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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