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Billions of parallel words for free: Building and using the EU bookshop corpus

  • Tilde Company
  • Uppsala University

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review

58 Citations (Scopus)

Abstract

The European Union is a great source of high quality documents with translations into several languages. Parallel corpora from its publications are frequently used in various tasks, machine translation in particular. A source that has not systematically been explored yet is the EU Bookshop - an online service and archive of publications from various European institutions. The service contains a large body of publications in the 24 official of the EU. This paper describes our efforts in collecting those publications and converting them to a format that is useful for natural language processing in particular statistical machine translation. We report our procedure of crawling the website and various pre-processing steps that were necessary to clean up the data after the conversion from the original PDF files. Furthermore, we demonstrate the use of this dataset in training SMT models for English, French, German, Spanish, and Latvian.

Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014
EditorsNicoletta Calzolari, Khalid Choukri, Sara Goggi, Thierry Declerck, Joseph Mariani, Bente Maegaard, Asuncion Moreno, Jan Odijk, Helene Mazo, Stelios Piperidis, Hrafn Loftsson
PublisherEuropean Language Resources Association (ELRA)
Pages1850-1855
Number of pages6
ISBN (Electronic)9782951740884
Publication statusPublished - 2014
Externally publishedYes
Event9th International Conference on Language Resources and Evaluation, LREC 2014 - Reykjavik, Iceland
Duration: 26 May 2014 → 31 May 2014

Publication series

NameProceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014

Conference

Conference9th International Conference on Language Resources and Evaluation, LREC 2014
Country/TerritoryIceland
CityReykjavik
Period26/05/14 → 31/05/14

Keywords

  • Evaluation
  • Parallel corpus
  • Statistical machine translation

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