Paul Trilsbeek

Publications

Displaying 1 - 14 of 14
  • 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.
  • Edmunds, R., L'Hours, H., Rickards, L., Trilsbeek, P., Vardigan, M., & Mokrane, M. (2016). Core trustworthy data repositories requirements. Zenodo, 168411. doi:10.5281/zenodo.168411.

    Abstract

    The Core Trustworthy Data Repository Requirements were developed by the DSA–WDS Partnership Working Group on Repository Audit and Certification, a Working Group (WG) of the Research Data Alliance . The goal of the effort was to create a set of harmonized common requirements for certification of repositories at the core level, drawing from criteria already put in place by the Data Seal of Approval (DSA: www.datasealofapproval.org) and the ICSU World Data System (ICSU-WDS: https://www.icsu-wds.org/services/certification). An additional goal of the project was to develop common procedures to be implemented by both DSA and ICSU-WDS. Ultimately, the DSA and ICSU-WDS plan to collaborate on a global framework for repository certification that moves from the core to the extended (nestor-Seal DIN 31644), to the formal (ISO 16363) level.
  • 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.
  • Trilsbeek, P., Broeder, D., Elbers, W., & Moreira, A. (2015). A sustainable archiving software solution for The Language Archive. In Proceedings of the 4th International Conference on Language Documentation and Conservation (ICLDC).
  • Drude, S., Trilsbeek, P., & Broeder, D. (2012). Language Documentation and Digital Humanities: The (DoBeS) Language Archive. In J. C. Meister (Ed.), Digital Humanities 2012 Conference Abstracts. University of Hamburg, Germany; July 16–22, 2012 (pp. 169-173).

    Abstract

    Overview Since the early nineties, the on-going dramatic loss of the world’s linguistic diversity has gained attention, first by the linguists and increasingly also by the general public. As a response, the new field of language documentation emerged from around 2000 on, starting with the funding initiative ‘Dokumentation Bedrohter Sprachen’ (DoBeS, funded by the Volkswagen foundation, Germany), soon to be followed by others such as the ‘Endangered Languages Documentation Programme’ (ELDP, at SOAS, London), or, in the USA, ‘Electronic Meta-structure for Endangered Languages Documentation’ (EMELD, led by the LinguistList) and ‘Documenting Endangered Languages’ (DEL, by the NSF). From its very beginning, the new field focused on digital technologies not only for recording in audio and video, but also for annotation, lexical databases, corpus building and archiving, among others. This development not just coincides but is intrinsically interconnected with the increasing focus on digital data, technology and methods in all sciences, in particular in the humanities.
  • Drude, S., Broeder, D., Trilsbeek, P., & Wittenburg, P. (2012). The Language Archive: A new hub for language resources. In N. Calzolari (Ed.), Proceedings of LREC 2012: 8th International Conference on Language Resources and Evaluation (pp. 3264-3267). European Language Resources Association (ELRA).

    Abstract

    This contribution presents “The Language Archive” (TLA), a new unit at the MPI for Psycholinguistics, discussing the current developments in management of scientific data, considering the need for new data research infrastructures. Although several initiatives worldwide in the realm of language resources aim at the integration, preservation and mobilization of research data, the state of such scientific data is still often problematic. Data are often not well organized and archived and not described by metadata ― even unique data such as field-work observational data on endangered languages is still mostly on perishable carriers. New data centres are needed that provide trusted, quality-reviewed, persistent services and suitable tools and that take legal and ethical issues seriously. The CLARIN initiative has established criteria for suitable centres. TLA is in a good position to be one of such centres. It is based on three essential pillars: (1) A data archive; (2) management, access and annotation tools; (3) archiving and software expertise for collaborative projects. The archive hosts mostly observational data on small languages worldwide and language acquisition data, but also data resulting from experiments
  • Seifart, F., Haig, G., Himmelmann, N. P., Jung, D., Margetts, A., & Trilsbeek, P. (Eds.). (2012). Potentials of language documentation: Methods, analyses, and utilization. Honolulu: University of Hawai‘i Press.

    Abstract

    In the past 10 or so years, intensive documentation activities, i.e. compilations of large, multimedia corpora of spoken endangered languages have contributed to the documentation of important linguistic and cultural aspects of dozens of languages. As laid out in Himmelmann (1998), language documentations include as their central components a collection of spoken texts from a variety of genres, recorded on video and/or audio, with time-aligned annotations consisting of transcription, translation, and also, for some data, morphological segmentation and glossing. Text collections are often complemented by elicited data, e.g. word lists, and structural descriptions such as a grammar sketch. All data are provided with metadata which serve as cataloguing devices for their accessibility in online archives. These newly available language documentation data have enormous potential.
  • Broeder, D., Sloetjes, H., Trilsbeek, P., Van Uytvanck, D., Windhouwer, M., & Wittenburg, P. (2011). Evolving challenges in archiving and data infrastructures. In G. L. J. Haig, N. Nau, S. Schnell, & C. Wegener (Eds.), Documenting endangered languages: Achievements and perspectives (pp. 33-54). Berlin: De Gruyter.

    Abstract

    Introduction Increasingly often research in the humanities is based on data. This change in attitude and research practice is driven to a large extent by the availability of small and cheap yet high-quality recording equipment (video cameras, audio recorders) as well as advances in information technology (faster networks, larger data storage, larger computation power, suitable software). In some institutes such as the Max Planck Institute for Psycholinguistics, already in the 90s a clear trend towards an all-digital domain could be identified, making use of state-of-the-art technology for research purposes. This change of habits was one of the reasons for the Volkswagen Foundation to establish the DoBeS program in 2000 with a clear focus on language documentation based on recordings as primary material.
  • Trilsbeek, P., & Wittenburg, P. (2007). "Los acervos lingüísticos digitales y sus desafíos". In J. Haviland, & F. Farfán (Eds.), Bases de la documentacíon lingüística (pp. 359-385). Mexico: Instituto Nacional de Lenguas Indígenas.

    Abstract

    This chapter describes the challenges that modern digital language archives are faced with. One essential aspect of such an archive is to have a rich metadata catalog such that the archived resources can be easily discovered. The challenge of the archive is to obtain these rich metadata descriptions from the depositors without creating too much overhead for them. The rapid changes in storage technology, file formats and encoding standards make it difficult to build a long-lasting repository, therefore archives need to be set up in such a way that a straightforward and automated migration process to newer technology is possible whenever certain technology becomes obsolete. Other problems arise from the fact that there are many different groups of users of the archive, each of them with their own specific expectations and demands. Often conflicts exist between the requirements for different purposes of the archive, e.g. between long-term preservation of the data versus direct access to the resources via the web. The task of the archive is to come up with a technical solution that works well for most usage scenarios.
  • Broeder, D., Claus, A., Offenga, F., Skiba, R., Trilsbeek, P., & Wittenburg, P. (2006). LAMUS: The Language Archive Management and Upload System. In Proceedings of the 5th International Conference on Language Resources and Evaluation (LREC 2006) (pp. 2291-2294).
  • Trilsbeek, P., & Wittenburg, P. (2005). Archiving challenges. In J. Gippert, N. Himmelmann, & U. Mosel (Eds.), Essentials of language documentation (pp. 311-335). Berlin: Mouton de Gruyter.
  • Wittenburg, P., Skiba, R., & Trilsbeek, P. (2005). The language archive at the MPI: Contents, tools, and technologies. Language Archives Newsletter, 5, 7-9.

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