Table of contents

  1. Front Matter
    Pages i-xvii
  2. Peter Spyns
    Pages 1-17 Open Access
  3. How It Started

    1. Front Matter
      Pages 19-19
    2. Peter Spyns, Elisabeth D’Halleweyn
      Pages 21-39 Open Access
  4. HLT Resource-Project Related Papers

    1. Front Matter
      Pages 41-41
    2. Catia Cucchiarini, Hugo Van hamme
      Pages 43-59 Open Access
    3. Henk van den Heuvel, Jean-Pierre Martens, Gerrit Bloothooft, Marijn Schraagen, Nanneke Konings, Kristof D’hanens et al.
      Pages 61-78 Open Access
    4. David Weenink
      Pages 79-94 Open Access
    5. Patrick Wambacq, Kris Demuynck, Dirk Van Compernolle
      Pages 95-113 Open Access
    6. Iris Hendrickx, Gosse Bouma, Walter Daelemans, Véronique Hoste
      Pages 115-128 Open Access
    7. Erwin Marsi, Emiel Krahmer
      Pages 129-145 Open Access
    8. Gertjan van Noord, Gosse Bouma, Frank Van Eynde, Daniël de Kok, Jelmer van der Linde, Ineke Schuurman et al.
      Pages 147-164 Open Access
    9. Piek Vossen, Isa Maks, Roxane Segers, Hennie van der Vliet, Marie-Francine Moens, Katja Hofmann et al.
      Pages 165-184 Open Access
    10. Hans Paulussen, Lieve Macken, Willy Vandeweghe, Piet Desmet
      Pages 185-199 Open Access
    11. Nelleke Oostdijk, Martin Reynaert, Véronique Hoste, Ineke Schuurman
      Pages 219-247 Open Access
  5. HLT-Technology Related Papers

    1. Front Matter
      Pages 249-249
    2. Bert Réveil, Jean-Pierre Martens, Henk van den Heuvel, Gerrit Bloothooft, Marijn Schraagen
      Pages 251-270 Open Access
    3. Yujun Wang, Jort F. Gemmeke, Kris Demuynck, Hugo Van hamme
      Pages 289-304 Open Access
    4. Vincent Vandeghinste, Scott Martens, Gideon Kotzé, Jörg Tiedemann, Joachim Van den Bogaert, Koen De Smet et al.
      Pages 305-319 Open Access
  6. HLT Application Related Papers

    1. Front Matter
      Pages 321-321
    2. Helmer Strik, Joost van Doremalen, Jozef Colpaert, Catia Cucchiarini
      Pages 323-338 Open Access
    3. Jan De Belder, Daniël de Kok, Gertjan van Noord, Fabrice Nauze, Leonoor van der Beek, Marie-Francine Moens
      Pages 339-357 Open Access
    4. Maarten de Rijke, Valentin Jijkoun, Fons Laan, Wouter Weerkamp, Paul Ackermans, Gijs Geleijnse
      Pages 359-377 Open Access
  7. And Now

    1. Front Matter
      Pages 379-379
    2. Remco van Veenendaal, Laura van Eerten, Catia Cucchiarini, Peter Spyns
      Pages 381-394 Open Access
    3. Jan Odijk
      Pages 395-404 Open Access
  8. Back Matter
    Pages 405-413

About this book


The book provides an overview of more than a decade of joint R&D efforts in the Low Countries on HLT for Dutch. It not only presents the state of the art of HLT for Dutch in the areas covered, but, even more importantly, a description of the resources (data and tools) for Dutch that have been created  are now  available for both academia and industry worldwide.

The contributions cover many areas of human language technology (for Dutch): corpus collection (including IPR issues) and building (in particular one corpus aiming at a collection of 500M word tokens), lexicology, anaphora resolution, a semantic network, parsing technology, speech recognition, machine translation, text (summaries) generation, web mining, information extraction, and text to speech to name the most important ones.

The book also shows how a medium-sized language community (spanning two territories) can create a digital language infrastructure (resources, tools, etc.) as a basis for subsequent R&D. At the same time, it bundles contributions of almost all the HLT research groups in Flanders and the Netherlands, hence offers a view of their recent research activities.

Targeted readers are mainly researchers in human language technology, in particular those focusing on Dutch. It concerns researchers active in larger networks such as the CLARIN, META-NET, FLaReNet and participating in conferences such as ACL, EACL, NAACL, COLING, RANLP, CICling, LREC, CLIN and DIR ( both in the Low Countries), InterSpeech, ASRU, ICASSP, ISCA, EUSIPCO, CLEF, TREC, etc. In addition, some chapters are interesting for human language technology  policy makers and even for science policy makers in general.


68T50, 68T10, 91F20, 68T30, 03B65 R&D programme for Dutch digital linguistic infrastructure human language technology language policy for a medium sized language machine learning

Editors and affiliations

  • Peter Spyns
    • 1
  • Jan Odijk
    • 2
  1. 1.Nederlandse TaalunieThe HagueThe Netherlands
  2. 2.UiL-OTS University of UtrechtUtrechtThe Netherlands

Bibliographic information

  • DOI
  • Copyright Information The Editor(s) (if applicable) and the Author(s) 2013
  • License CC BY-NC
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-642-30909-0
  • Online ISBN 978-3-642-30910-6
  • Series Print ISSN 2192-032X
  • Series Online ISSN 2192-0338
  • Buy this book on publisher's site