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@inproceedings{2305342,
author = {Blahuš, Marek and Jakubíček, Miloš and Cukr, Michal and Kovář, Vojtěch and Suchomel, Vít},
address = {Brno, Czech Republic},
booktitle = {Electronic lexicography in the 21st century (eLex 2023): Invisible Lexicography. Proceedings of the eLex 2023 conference},
editor = {Marek Medveď, Michal Měchura, Carole Tiberius, Iztok Kosem, Jelena Kallas, Miloš Jakubíček, Simon Krek},
keywords = {Grammars; Terminology Extraction; OneClick Terms},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Brno, Czech Republic},
pages = {650-662},
publisher = {Lexical Computing CZ s.r.o.},
title = {Development of Evidence-Based Grammars for Terminology Extraction in OneClick Terms},
url = {https://elex.link/elex2023/wp-content/uploads/117.pdf},
year = {2023}
}
TY - JOUR
ID - 2305342
AU - Blahuš, Marek - Jakubíček, Miloš - Cukr, Michal - Kovář, Vojtěch - Suchomel, Vít
PY - 2023
TI - Development of Evidence-Based Grammars for Terminology Extraction in OneClick Terms
PB - Lexical Computing CZ s.r.o.
CY - Brno, Czech Republic
KW - Grammars
KW - Terminology Extraction
KW - OneClick Terms
UR - https://elex.link/elex2023/wp-content/uploads/117.pdf
N2 - 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 & 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.
ER -
BLAHUŠ, Marek, Miloš JAKUBÍČEK, Michal CUKR, Vojtěch KOVÁŘ a Vít SUCHOMEL. Development of Evidence-Based Grammars for Terminology Extraction in OneClick Terms. Online. In Marek Medveď, Michal Měchura, Carole Tiberius, Iztok Kosem, Jelena Kallas, Miloš Jakubíček, Simon Krek. \textit{Electronic lexicography in the 21st century (eLex 2023): Invisible Lexicography. Proceedings of the eLex 2023 conference}. Brno, Czech Republic: Lexical Computing CZ s.r.o., 2023, s.~650-662. ISSN~2533-5626.
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