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Wittenburg, P., Trilsbeek, P., & Lenkiewicz, P. (2010). Large multimedia archive for world languages. In SSCS'10 - Proceedings of the 2010 ACM Workshop on Searching Spontaneous Conversational Speech, Co-located with ACM Multimedia 2010 (pp. 53-56). New York: Association for Computing Machinery, Inc. (ACM). doi:10.1145/1878101.1878113.
Abstract
In this paper, we describe the core pillars of a large archive oflanguage material recorded worldwide partly about languages that are highly endangered. The bases for the documentation of these languages are audio/video recordings which are then annotated at several linguistic layers. The digital age completely changed the requirements of long-term preservation and it is discussed how the archive met these new challenges. An extensive solution for data replication has been worked out to guarantee bit-stream preservation. Due to an immediate conversion of the incoming data to standards -based formats and checks at upload time lifecycle management of all 50 Terabyte of data is widely simplified. A suitable metadata framework not only allowing users to describe and discover resources, but also allowing them to organize their resources is enabling the management of this amount of resources very efficiently. Finally, it is the Language Archiving Technology software suite which allows users to create, manipulate, access and enrich all archived resources given that they have access permissions. -
Trilsbeek, P., Broeder, D., Van Valkenhoef, T., & Wittenburg, P. (2008). A grid of regional language archives. In C. Calzolari (
Ed. ), Proceedings of the 6th International Conference on Language Resources and Evaluation (LREC 2008) (pp. 1474-1477). European Language Resources Association (ELRA).Abstract
About two years ago, the Max Planck Institute for Psycholinguistics in Nijmegen, The Netherlands, started an initiative to install regional language archives in various places around the world, particularly in places where a large number of endangered languages exist and are being documented. These digital archives make use of the LAT archiving framework [1] that the MPI has developed
over the past nine years. This framework consists of a number of web-based tools for depositing, organizing and utilizing linguistic resources in a digital archive. The regional archives are in principle autonomous archives, but they can decide to share metadata descriptions and language resources with the MPI archive in Nijmegen and become part of a grid of linked LAT archives. By doing so, they will also take advantage of the long-term preservation strategy of the MPI archive. This paper describes the reasoning
behind this initiative and how in practice such an archive is set up. -
Van Uytvanck, D., Dukers, A., Ringersma, J., & Trilsbeek, P. (2008). Language-sites: Accessing and presenting language resources via geographic information systems. In N. Calzolari, K. Choukri, B. Maegaard, J. Mariani, J. Odijk, S. Piperidis, & D. Tapias (
Eds. ), Proceedings of the 6th International Conference on Language Resources and Evaluation (LREC 2008). Paris: European Language Resources Association (ELRA).Abstract
The emerging area of Geographic Information Systems (GIS) has proven to add an interesting dimension to many research projects. Within the language-sites initiative we have brought together a broad range of links to digital language corpora and resources. Via Google Earth's visually appealing 3D-interface users can spin the globe, zoom into an area they are interested in and access directly the relevant language resources. This paper focuses on several ways of relating the map and the online data (lexica, annotations, multimedia recordings, etc.). Furthermore, we discuss some of the implementation choices that have been made, including future challenges. In addition, we show how scholars (both linguists and anthropologists) are using GIS tools to fulfill their specific research needs by making use of practical examples. This illustrates how both scientists and the general public can benefit from geography-based access to digital language data
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