Paul Trilsbeek

Publications

Displaying 1 - 4 of 4
  • Van den Heuvel, H., Oostdijk, N., Rowland, C. F., & Trilsbeek, P. (2020). The CLARIN Knowledge Centre for Atypical Communication Expertise. In N. Calzolari, F. Béchet, P. Blache, K. Choukri, C. Cieri, T. Declerck, S. Goggi, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, & S. Piperidis (Eds.), Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020) (pp. 3312-3316). Marseille, France: European Language Resources Association.

    Abstract

    This paper introduces a new CLARIN Knowledge Center which is the K-Centre for Atypical Communication Expertise (ACE for short) which has been established at the Centre for Language and Speech Technology (CLST) at Radboud University. Atypical communication is an umbrella term used here to denote language use by second language learners, people with language disorders or those suffering from language disabilities, but also more broadly by bilinguals and users of sign languages. It involves multiple modalities (text, speech, sign, gesture) and encompasses different developmental stages. ACE closely collaborates with The Language Archive (TLA) at the Max Planck Institute for Psycholinguistics in order to safeguard GDPR-compliant data storage and access. We explain the mission of ACE and show its potential on a number of showcases and a use case.
  • Wittenburg, P., Lautenschlager, M., Thiemann, H., Baldauf, C., & Trilsbeek, P. (2020). FAIR Practices in Europe. Data Intelligence, 2(1-2), 257-263. doi:10.1162/dint_a_00048.

    Abstract

    Institutions driving fundamental research at the cutting edge such as for example from the Max Planck Society (MPS) took steps to optimize data management and stewardship to be able to address new scientific questions. In this paper we selected three institutes from the MPS from the areas of humanities, environmental sciences and natural sciences as examples to indicate the efforts to integrate large amounts of data from collaborators worldwide to create a data space that is ready to be exploited to get new insights based on data intensive science methods. For this integration the typical challenges of fragmentation, bad quality and also social differences had to be overcome. In all three cases, well-managed repositories that are driven by the scientific needs and harmonization principles that have been agreed upon in the community were the core pillars. It is not surprising that these principles are very much aligned with what have now become the FAIR principles. The FAIR principles confirm the correctness of earlier decisions and their clear formulation identified the gaps which the projects need to address.
  • Trilsbeek, P., & Windhouwer, M. (2016). FLAT: A CLARIN-compatible repository solution based on Fedora Commons. In Proceedings of the CLARIN Annual Conference 2016. Clarin ERIC.

    Abstract

    This paper describes the development of a CLARIN-compatible repository solution that fulfils both the long-term preservation requirements as well as the current day discoverability and usability needs of an online data repository of language resources. The widely used Fedora Commons open source repository framework, combined with the Islandora discovery layer, forms the basis of the solution. On top of this existing solution, additional modules and tools are developed to make it suitable for the types of data and metadata that are used by the participating partners.

    Additional information

    link to pdf on CLARIN site
  • Windhouwer, M., Kemps-Snijders, M., Trilsbeek, P., Moreira, A., Van der Veen, B., Silva, G., & Von Rhein, D. (2016). FLAT: Constructing a CLARIN Compatible Home for Language Resources. In K. Choukri, T. Declerck, S. Goggi, M. Grobelnik, B. Maegaard, J. Mariani, H. Mazo, & A. Moreno (Eds.), Proccedings of LREC 2016: 10th International Conference on Language Resources and Evalution (pp. 2478-2483). Paris: European Language Resources Association (ELRA).

    Abstract

    Language resources are valuable assets, both for institutions and researchers. To safeguard these resources requirements for repository systems and data management have been specified by various branch organizations, e.g., CLARIN and the Data Seal of Approval. This paper describes these and some additional ones posed by the authors’ home institutions. And it shows how they are met by FLAT, to provide a new home for language resources. The basis of FLAT is formed by the Fedora Commons repository system. This repository system can meet many of the requirements out-of-the box, but still additional configuration and some development work is needed to meet the remaining ones, e.g., to add support for Handles and Component Metadata. This paper describes design decisions taken in the construction of FLAT’s system architecture via a mix-and-match strategy, with a preference for the reuse of existing solutions. FLAT is developed and used by the a Institute and The Language Archive, but is also freely available for anyone in need of a CLARIN-compliant repository for their language resources.

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