BLAHUŠ, Marek, Miloš JAKUBÍČEK, Michal CUKR, Vojtěch KOVÁŘ and 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. 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, p. 650-662. ISSN 2533-5626.
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Basic information
Original name Development of Evidence-Based Grammars for Terminology Extraction in OneClick Terms
Authors BLAHUŠ, Marek (203 Czech Republic), Miloš JAKUBÍČEK (203 Czech Republic, belonging to the institution), Michal CUKR (203 Czech Republic), Vojtěch KOVÁŘ (203 Czech Republic, belonging to the institution) and Vít SUCHOMEL (203 Czech Republic, belonging to the institution).
Edition Brno, Czech Republic, Electronic lexicography in the 21st century (eLex 2023): Invisible Lexicography. Proceedings of the eLex 2023 conference, p. 650-662, 13 pp. 2023.
Publisher Lexical Computing CZ s.r.o.
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW Konferenční sborník
RIV identification code RIV/00216224:14330/23:00131557
Organization unit Faculty of Informatics
ISSN 2533-5626
Keywords in English Grammars; Terminology Extraction; OneClick Terms
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 9/4/2024 00:12.
Abstract
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.
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