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We present SPLICR, the Web-based Sustainability Platform for Linguistic Corpora and Resources. The system is aimed at people who work in Linguistics or Computational Linguistics: a comprehensive database of metadata records can be explored in order to find language resources that could be appropriate for one’s spe cific research needs. SPLICR also provides a graphical interface that enables users to query and to visualise corpora. The project in which the system is developed aims at sustainably archiving the ca. 60 language resources that have been constructed in three collaborative research centres. Our project has two primary goals: (a) To process and to archive sustainably the resources so that they are still available to the research community in five, ten, or even 20 years time. (b) To enable researchers to query the resources both on the level of their metadata as well as on the level of linguistic annotations. In more general terms, our goal is to enable solutions that leverage the interoperability, reusability, and sustainability of heterogeneous collec- tions of language resources.
Digital Text Collections, Linguistic Research Data, and Mashups: Notes on the Legal Situation
(2008)
Comprehensive data repositories are an essential part of practically all research carried out in the digital humanities nowadays. For example, library science, literary studies, and computational and corpus linguistics strongly depend on online archives that are highly sustainable and that contain not only digitized texts but also audio and video data as well as additional information such as metadata and arbitrary annotations. Current Web technologies, especially those that are related to what is commonly referred to as the Web 2.0, provide a number of novel functions such as multiuser editing or the inclusion of third-party content and applications that are also highly attractive for research applications in the areas mentioned above. Hand in hand with this development goes a high degree of legal uncertainty. The special nature of the data entails that, in quite a few cases, there are multiple holders of personal rights (mostly copyright) to different layers of data that often have different origins. This article discusses the legal problems of multiple authorships in private, commercial, and research environments. We also introduce significant differences between European and U.S. law with regard to the handling of this kind of data for scientific purposes.
An approach to the unification of XML (Extensible Markup Language) documents with identical textual content and concurrent markup in the framework of XML-based multi-layer annotation is introduced. A Prolog program allows the possible relationships between element instances on two annotation layers that share PCDATA to be explored and also the computing of a target node hierarchy for a well-formed, merged XML document. Special attention is paid to identity conflicts between element instances, for which a default solution that takes into account metarelations that hold between element types on the different annotation layers is provided. In addition, rules can be specified by a user to prescribe how identity conflicts should be solved for certain element types.
This article introduces the topic of ‘‘Multilingual language resources and interoperability’’. We start with a taxonomy and parameters for classifying language resources. Later we provide examples and issues of interoperatability, and resource architectures to solve such issues. Finally we discuss aspects of linguistic formalisms and interoperability.
We report on finished work in a project that is concerned with providing methods, tools, best practice guidelines, and solutions for sustainable linguistic resources. The article discusses several general aspects of sustainability and introduces an approach to normalizing corpus data and metadata records. Moreover, the architecture of the sustainability platform implemented by the authors is described.
This article shows that the TEI tag set for feature structures can be adopted to represent a heterogeneous set of linguistic corpora. The majority of corpora is annotated using markup languages that are based on the Annotation Graph framework, the upcoming Linguistic Annotation Format ISO standard, or according to tag sets defined by or based upon the TEI guidelines. A unified representation comprises the separation of conceptually different annotation layers contained in the original corpus data (e.g. syntax, phonology, and semantics) into multiple XML files. These annotation layers are linked to each other implicitly by the identical textual content of all files. A suitable data structure for the representation of these annotations is a multi-rooted tree that again can be represented by the TEI and ISO tag set for feature structures. The mapping process and representational issues are discussed as well as the advantages and drawbacks associated with the use of the TEI tag set for feature structures as a storage and exchange format for linguistically annotated data.
Forschungsdatenmanagement in den Geisteswissenschaften am Beispiel der germanistischen Linguistik
(2013)
Die Kernaufgabe des Instituts für Deutsche Sprache (IDS) ist die Erforschung und Dokumentation der deutschen Sprache. Dazu sammelt und archiviert das IDS einen umfangreichen Bestand an Forschungsprimärdaten in Form von Korpora der geschriebenen und gesprochenen Sprache sowie Sekundärdaten, wie zum Beispiel lexikographische Ressourcen. Dieser Beitrag gibt einen Überblick über den Datenbestand des IDS und die laufenden Forschungskooperationen im Bereich der Langzeitarchivierung. In diesem Kontext wird das im Aufbau befindliche Langzeitarchivdes IDS mit seiner Architektur, den zugrundeliegenden Prinzipien zur Daten- und Metadatenmodellierung sowie den daraus abgeleiteten Erfassungsprozessen vorgestellt. Der Beitrag schließt ab mit einem Ausblick auf die Herausforderungen und Perspektiven des Forschungsdatenmanagements aus Sicht der germanistischen Linguistik.