Authors:
Veronique Hoste Ghent University, Department of Translation, Interpreting and Communication Groot-Brittanniëlaan 45, 9000 Gent, Belgium

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Klaar Vanopstal Ghent University, Department of Translation, Interpreting and Communication Groot-Brittanniëlaan 45, 9000 Gent, Belgium

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Ayla Rigouts Terryn Ghent University, Department of Translation, Interpreting and Communication Groot-Brittanniëlaan 45, 9000 Gent, Belgium

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Els Lefever Ghent University, Department of Translation, Interpreting and Communication Groot-Brittanniëlaan 45, 9000 Gent, Belgium

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Abstract

We investigate the cost-effectiveness of special-purpose crawled corpora versus more focused corpora for automatic terminology extraction (ATE). Our focus is on medical terminology on heart failure for two languages, viz. English for which we have more web and specialized resources at our disposal and the less resourced Dutch. We show that, although term density in the dedicated corpora is larger for both languages, the potential for term extraction is higher in the crawled corpora than in the dedicated corpora. Furthermore, in a set of experiments in which we evaluate both types of corpora, while keeping size constant, we observe that more Gold Standard (GS) terms are covered by the “noisy” crawled corpus than with a dedicated corpus of the same size.

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Editor-in-Chief: Krisztina KÁROLY (Eötvös Loránd University, Hungary)

Consulting Editor: Dániel MÁNY  (Semmelweis University, Hungary)

Managing Editor: Réka ESZENYI (Eötvös Loránd University, Hungary)

Founding Editor-in-Chief: Kinga KLAUDY (Eötvös Loránd University, Hungary)

EDITORIAL BOARD

  • Andrew CHESTERMAN (University of Helsinki, Finland)
  • Kirsten MALMKJÆR (University of Leicester, UK)
  • Christiane NORD (University of Free State, Bloemfontein, South Africa)
  • Anthony PYM (Universitat Rovira i Virgili, Tarragona, Spain, University of Melbourne, Australia)
  • Mary SNELL-HORNBY (University of Vienna, Austria)
  • Sonja TIRKKONEN-CONDIT (University of Eastern Finland, Joensuu, Finland)

ADVISORY BOARD

  • Mona BAKER (Shanghai International Studies University, China, University of Oslo, Norway)
  • Łucja BIEL (University of Warsaw, Poland)
  • Gloria CORPAS PASTOR (University of Malaga, Spain; University of Wolverhampton, UK)
  • Rodica DIMITRIU (Universitatea „Alexandru Ioan Cuza” Iasi, Romania)
  • Birgitta Englund DIMITROVA (Stockholm University, Sweden)
  • Sylvia KALINA (Cologne Technical University, Germany)
  • Haidee KOTZE (Utrecht University, The Netherlands)
  • Sara LAVIOSA (Università degli Studi di Bari Aldo Moro, Italy)
  • Brian MOSSOP (York University, Toronto, Canada)
  • Orero PILAR (Universidad Autónoma de Barcelona, Spain)
  • Gábor PRÓSZÉKY (Hungarian Research Institute for Linguistics, Hungary)
  • Alessandra RICCARDI (University of Trieste, Italy)
  • Edina ROBIN (Eötvös Loránd University, Hungary)
  • Myriam SALAMA-CARR (University of Manchester, UK)
  • Mohammad Saleh SANATIFAR (independent researcher, Iran)
  • Sanjun SUN (Beijing Foreign Studies University, China)
  • Anikó SOHÁR (Pázmány Péter Catholic University,  Hungary)
  • Sonia VANDEPITTE (University of Gent, Belgium)
  • Albert VERMES (Eszterházy Károly University, Hungary)
  • Yifan ZHU (Shanghai Jiao Tong Univeristy, China)

Prof. Dr. Krisztina KÁROLY 
School of English and American Studies, Eötvös Loránd University
H-1088 Budapest, Rákóczi út 5., Hungary 
E-mail: 

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2023  
Web of Science  
Journal Impact Factor 1.0
Rank by Impact Factor Q2 (Linguistics)
Journal Citation Indicator 0.76
Scopus  
CiteScore 1.7
CiteScore rank Q1 (Language and Linguistics)
SNIP 1.223
Scimago  
SJR index 0.671
SJR Q rank Q1

Across Languages and Cultures
Publication Model Hybrid
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Across Languages and Cultures
Language English
Size B5
Year of
Foundation
1999
Volumes
per Year
1
Issues
per Year
2
Founder Akadémiai Kiadó
Founder's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 1585-1923 (Print)
ISSN 1588-2519 (Online)

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