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The present article describes the first stage of the KorAP project, launched recently at the Institut für Deutsche Sprache (IDS) in Mannheim, Germany. The aim of this project is to develop an innovative corpus analysis platform to tackle the increasing demands of modern linguistic research. The platform will facilitate new linguistic findings by making it possible to manage and analyse primary data and annotations in the petabyte range, while at the same time allowing an undistorted view of the primary linguistic data, and thus fully satisfying the demands of a scientific tool. An additional important aim of the project is to make corpus data as openly accessible as possible in light of unavoidable legal restrictions, for instance through support for distributed virtual corpora, user-defined annotations and adaptable user interfaces, as well as interfaces and sandboxes for user-supplied analysis applications. We discuss our motivation for undertaking this endeavour and the challenges that face it. Next, we outline our software implementation plan and describe development to-date.
Standards in CLARIN
(2022)
This chapter looks at a fragment of the ongoing work of the CLARIN Standards Committee (CSC) on producing a shared set of recommendations on standards, formats, and related best practices supported by the CLARIN infrastructure and its participating centres. What might at first glance seem to be a straightforward goal has over the years proven to be rather complex, reflecting the robustness and heterogeneity of the emerging distributed digital research infrastructure and the various disciplines and research traditions of the language-based humanities that it serves and represents, and therefore part of the chapter reviews the various initiatives and proposals that strove to produce helpful standards-related guidance. The focus turns next to a subtask initiated in late 2019, its scope narrowed to one of the core activities and responsibilities of CLARIN backbone centres, namely the provision of data deposition services. Centres are obligated to publish their recom-mendations concerning the repertoire of data formats that are best suited for their research profiles. We look at how this requirement has been met by the particular centres and suggest that having centres maintain their information in the Standards Information System (SIS) is the way to improve on the current state of affairs.