In this introductory chapter, we briefly present the context of the STEVIN programme (Sect. 1.1), in particular its rationale and main scientific goals. Subsequently, a short overview is given of all the STEVIN projects’ results (Sect. 1.2). The first subsection (1.2.1) lists the scientific projects, which will be treated in detail in the subsequent chapters of this volume. The following subsection (1.2.2) presents the other (types of) projects that had no explicit scientific aim, but rather an economic and/or dissemination goal. In the concluding section 1.3.1, we discuss how the results of the scientific projects address the STEVIN scientific priorities (Sect. 1.3.1) and how they are interrelated (Sect. 1.3.2). Finally, we explicate in section 1.4 the organisation of this volume.


  1. 1.
    Akkermans, J., van Berkel, B., Frowein, C., van Groos, L., Van Compernolle, D.: Technologieverkenning nederlandse taal- en spraaktechnologie. Techincal report., M&I/Partners & Montemore, Amersfoort & Leuven (2004) (in Dutch)Google Scholar
  2. 2.
    Arnold, E., Kuhlman, S.: Rcn in the norwegian research and innovation system. In: Background report no. 12 in the Evaluation of the Research Council of Norway, Fraunhofer ISI, Karlsruhe (2001)Google Scholar
  3. 3.
    Boersma, P.: PRAAT, a system for doing phonetics by computer. Glot Int. 5:9/10, 341–345 (2001)Google Scholar
  4. 4.
    Bouma, G., Muri, J., van Noord, G., van der Plas, L.: Question-answering for dutch using dependency relations. In: Proceedings of the CLEF 2005 Workshop, Vienna (2005)Google Scholar
  5. 5.
    Boves, L., Carlson, R., Hinrichs, E., House, D., Krauwer, S., Lemnitzer, L., Vainio, M., Wittenburg, P.: Resources for speech research: present and future infrastructure needs. In: Proceedings of Interspeech 2009, Brighton (2009)Google Scholar
  6. 6.
    Cucchiarini, C., Driesen, J., Van hamme, H., Sanders, E.: Recording speech of children, non-natives and elderly people for HLT applications: the JASMIN-CGN corpus. In: Proceedings of the 6th International Conference on Language Resources and Evaluation (LREC 2008), Marrakech (2008)Google Scholar
  7. 7.
    De Belder, J., Moens, M.F.: Integer linear programming for Dutch sentence compression. In: Gelbukh A. (ed.) Proceedings of CICLing 2010, Lasi. Lecture Notes in Computer Science, pp. 711–723. Springer, Berlin, Heidelberg (2010)Google Scholar
  8. 8.
    Demuynck, K., Roelens, J., Van Compernolle, D., Wambacq, P.: SPRAAK: an open source speech recognition and automatic annotation kit. In: Proceedings of the International Conference on Spoken Language Processing, Jeju, Korea (2008)Google Scholar
  9. 9.
    Gemmeke, J., Van hamme, H., Cranen, B., Boves, L.: Compressive sensing for missing data imputation in noise robust speech recognition. IEEE J. Sel. Top. Signal Process. 4 (2), 272–287 (2010)CrossRefGoogle Scholar
  10. 10.
    Grégoire, N.: Duelme: a Dutch electronic lexicon of multiword expressions. J. Lang. Resour. Eval. Special issue on Multiword Expressions. 44 (1-2), 23–40. Springer (2010)Google Scholar
  11. 11.
    Hendrickx, I., Bouma, G., Coppens, F., Daelemans, W., Hoste, V., Kloosterman, G., Mineur, A.M., Van Der Vloet, J., Verschelde, J.L.: A coreference corpus and resolution system for Dutch. In: Proceedings of the 6th International Conference on Language Resources and Evaluation (LREC 2008), Marrakech (2008)Google Scholar
  12. 12.
    Kessens, J., van Leeuwen, D.: N-Best: the northern and southern Dutch evaluation of speech recognition technology. In: Proceedings of Interspeech 2007, Antwerp, pp. 1354–1357 (2007)Google Scholar
  13. 13.
    Krauwer, S.: The Basic Language Resource Kit (BLARK) as the first milestone for the Language Resources Roadmap. In: Proceedings of the International Workshop Speech and Computer 2003, Moscow (2003)Google Scholar
  14. 14.
    Marsi, E., Krahmer, E.: Detecting semantic overlap: a parallel monolingual treebank for Dutch. In: Proceedings of Computational Linguistics in the Netherlands (CLIN 2007), Nijmegen (2007)Google Scholar
  15. 15.
    Oostdijk, N.: The design of the Spoken Dutch Corpus. In: Peters P., Collins, P., Smith, A. (eds.) New Frontiers of Corpus Research. Rodopi, Amsterdam/New York (2002), pp. 105–112CrossRefGoogle Scholar
  16. 16.
    Oostdijk, N., Reynaert, M., Monachesi, P., van Noord, G., Ordelman, R., Schuurman, I., Vandeghinste, V.: From D-Coi to SoNaR: a reference corpus for Dutch. In: Proceedings of the 6th International Conference on Language Resources and Evaluation (LREC 2008), Marrakech (2008)Google Scholar
  17. 17.
    Paulussen, H., Macken, L., Truskina, J., Desmet, P., Vandeweghe, W.: Dutch Parallel Corpus a multifunctional and multilingual corpus. Cahiers de l’Institut de Linguistique de Louvain 32.1-4, 269–285 (2006)Google Scholar
  18. 18.
    Réveil, B., Martens, J.P., van den Heuvel, H.: Improving proper name recognition by adding automatically learned pronunciation variants to the lexicon. In: Proceedings of the 7th International Conference on Language Resources and Evaluation (LREC 2010), Valletta (2010)Google Scholar
  19. 19.
    Reynaert, M., Oostdijk, N., De Clercq, O., van den Heuvel, H., de Jong, F.: Balancing SoNaR: IPR versus processing issues in a 500-million-word written Dutch Reference Corpus. In: Proceedings of the 7th International Conference on Language Resources and Evaluation (LREC 2010), Valletta (2010)Google Scholar
  20. 20.
    Strik, H., Daelemans, W., Binnenpoorte, D., Sturm, J., de Vriend, F., Cucchiarini, C.: Dutch HLT resources: from BLARK to priority lists. In: Proceedings of ICSLP, Denver (2002)Google Scholar
  21. 21.
    Strik, H., Cornillie, F., Colpaert, J., van Doremalen, J., Cucchiarini, C.: Developing a CALL system for practicing oral proficiency: how to design for speech technology, pedagogy and learners. In: Proceedings of the SLaTE-2009 Workshop, Warwickshire (2009)Google Scholar
  22. 22.
    Tsagkias, E., Weerkamp, W., de Rijke, M.: News comments: exploring, modeling, and online predicting. In: Proceedings of the 2nd European Conference on Information Retrieval (ECIR 2010), pp. 109–203. Springer, Milton Keynes, UK (2010)Google Scholar
  23. 23.
    van Noord, G.: Huge parsed corpora in LASSY. In: Van Eynde, F., Frank, A., De Smedt, K., van Noord G. (eds.) Proceedings of the Seventh International Workshop on Treebanks and Linguistic Theories (TLT 7), Groningen (2009). LOT Occasional SeriesGoogle Scholar
  24. 24.
    van Noord, G.: Learning efficient parsing. In: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2009), Athens (2009). Association for Computational LinguisticsGoogle Scholar
  25. 25.
    van den Bosch, A., Bouma, G. (eds.): Interactive Mulit-modal Question-Answering. Theory and Applications of Natural Language Processing. Springer, Heidelberg/New York (2011)Google Scholar
  26. 26.
    van den Heuvel, H., Martens, J.P., D’Hoore, B., D’Hanens, K., Konings, N.: The Autonomata spoken name corpus. design, recording, transcription and distribution of the corpus. In: Proceedings of the 6th International Conference on Language Resources and Evaluation (LREC 2008), Marrakech (2008)Google Scholar
  27. 27.
    van den Heuvel, H., Martens, J.P., Konings, N.: Fast and easy development of pronunciation lexicons for names. In: Proceedings of LangTech, Rome (2008)Google Scholar
  28. 28.
    van Leeuwen, D., Kessens, J., Sanders, E., van den Heuvel, H.: Results of the N-Best 2008 Dutch speech recognition evaluation. In: Proceedings of the 10th Annual Conference of the International Speech Communication Association (Interspeech 2009), Brighton. International Speech Communication Association, pp. 2571–2574 (2009)Google Scholar
  29. 29.
    Vandeghinste, V.: Scaling up a hybrid mt system: from low to full resources. Linguist. Antverp. 7, 65–80 (2008)Google Scholar
  30. 30.
    Vossen, P., Agirre, E., Calzolari, N., Fellbaum, C., Hsieh, S., Huang, C., Isahara, H., Kanzak, K., Marchetti, A., Monachini, M., Neri, F., Raffaelli, R., Rigau, G., Tescon, M.: Kyoto: a system for mining, structuring and distributing knowledge across languages and cultures. In: Proceedings of the Sixth International Language Resources and Evaluation (LREC’08), Marrakech (2008)Google Scholar
  31. 31.
    Vossen, P., Maks, I., Segers, R., van der Vliet, H., van Zutphen, H.: The Cornetto Database: the architecture and alignment issues of combining lexical units, synsets and an ontology. In: Proceedings of the Fourth International GlobalWordNet Conference, Szeged (2008)Google Scholar

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Open Access. This chapter is distributed under the terms of the Creative Commons Attribution Noncommercial License, which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

Authors and Affiliations

  1. 1.Nederlandse TaalunieDen HaagNederland
  2. 2.Vlaamse overheid – Departement EconomieWetenschap en InnovatieBrusselBelgium

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