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

Kód výsledku v 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>

Výsledek na webu

<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

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

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ISSN

2533-5626

e-ISSN

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Počet stran výsledku

13

Strana od-do

650-662

Název nakladatele

Lexical Computing CZ s.r.o.

Místo vydání

Brno, Czech Republic

Místo konání akce

Brno, Czech Republic

Datum konání akce

1. 1. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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