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Development of Evidence-Based Grammars for Terminology Extraction in OneClick Terms

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00131557" target="_blank" >RIV/00216224:14330/23:00131557 - isvavai.cz</a>

  • Result on the web

    <a href="https://elex.link/elex2023/wp-content/uploads/117.pdf" target="_blank" >https://elex.link/elex2023/wp-content/uploads/117.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Development of Evidence-Based Grammars for Terminology Extraction in OneClick Terms

  • Original language description

    This paper presents a new generation of terminology extraction grammars for the OneClick Terms system. Unlike previous grammars built using linguistic judgment, the new grammars use rules inspired by patterns frequently observed in existing terminology databases. This evidence-based approach leads to a more accurate coverage of term candidates of lexical structures typical for authentic terms. The internal variety and maximum length of recognized terms have also increased. Due to the use of techniques known from corpus linguistics in their design, the resulting grammars maximize the coverage of terms while keeping a manageable size. In the paper, we frst describe how term grammars are used in OneClick Terms (Baisa et al., 2017) to enable terminology extraction for individual languages. Then we explain the procedure which we use to design next-generation term grammars for seven languages (English, Estonian, French, German, Italian, Portuguese, Spanish). This includes studying the IATE term base (Zorrilla-Agut &amp; Fontenelle, 2019) to derive information on the typical structure of terms in each language. Eventually, we provide fgures concerning the new term grammars and their recall of the IATE terms, and we discuss directions for further development.

  • 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

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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

    Electronic lexicography in the 21st century (eLex 2023): Invisible Lexicography. Proceedings of the eLex 2023 conference

  • ISBN

  • ISSN

    2533-5626

  • e-ISSN

  • Number of pages

    13

  • Pages from-to

    650-662

  • Publisher name

    Lexical Computing CZ s.r.o.

  • Place of publication

    Brno, Czech Republic

  • Event location

    Brno, Czech Republic

  • Event date

    Jan 1, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article