The International Comparable Corpus: challenges in building multilingual spoken and written comparable corpora

• Anna Čermáková ^[1] ; Jarmo Jantunen ^[2] ; Tommi Jauhiainen ^[3] ; John Kirk ^[4] ; Michal Křen ^[1] ; Marc Kupietz ^[5] ; Elaine Uí Dhonnchadha ^[6]
  1. [1] Charles University in Prague

     Charles University in Prague

     Chequia

     
  2. [2] University of Jyväskylä

     University of Jyväskylä

     Jyväskylä, Finlandia

     
  3. [3] University of Helsinki

     University of Helsinki

     Helsinki, Finlandia

     
  4. [4] University of Vienna

     University of Vienna

     Innere Stadt, Austria

     
  5. [5] Institute of German Language

     Institute of German Language

     Stadtkreis Mannheim, Alemania

     
  6. [6] Trinity College Dublin

     Trinity College Dublin

     Irlanda

     

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• Localización: Research in Corpus Linguistics (RiCL), ISSN-e 2243-4712, Vol. 9, Nº. Extra 1, 2021 (Ejemplar dedicado a: "Challenges of combining structured and unstructured data in corpus development"), págs. 89-103
• Idioma: inglés
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  • This paper reports on the efforts of twelve national teams in building the International Comparable Corpus (ICC; https://korpus.cz/icc) that will contain highly comparable datasets of spoken, written and electronic registers. The languages currently covered are Czech, Finnish, French, German, Irish, Italian, Norwegian, Polish, Slovak, Swedish and, more recently, Chinese, as well as English, which is considered to be the pivot language. The goal of the project is to provide much-needed data for contrastive corpus-based linguistics. The ICC corpus is committed to the idea of re-using existing multilingual resources as much as possible and the design is modelled, with various adjustments, on the International Corpus of English (ICE). As such, ICC will contain approximately the same balance of forty percent of written language and 60 percent of spoken language distributed across 27 different text types and contexts. A number of issues encountered by the project teams are discussed, ranging from copyright and data sustainability to technical advances in data distribution.