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Found 62 result(s)
The project is set up in order to improve the infrastructure for text-based linguistic research and development by building a huge, automatically annotated German text corpus and the corresponding tools for corpus annotation and exploitation. DeReKo constitutes the largest linguistically motivated collection of contemporary German texts, contains fictional, scientific and newspaper texts, as well as several other text types, contains only licenced texts, is encoded with rich meta-textual information, is fully annotated morphosyntactically (three concurrent annotations), is continually expanded, with a focus on size and stratification of data, may be analyzed free of charge via the query system COSMAS II, serves as a 'primordial sample' from which users may draw specialized sub-samples (socalled 'virtual corpora') to represent the language domain they wish to investigate. !!! Access to data of Das Deutsche Referenzkorpus is also provided by: IDS Repository https://www.re3data.org/repository/r3d100010382 !!!
CLARIN.SI is the Slovenian node of the European CLARIN (Common Language Resources and Technology Infrastructure) Centers. The CLARIN.SI repository is hosted at the Jožef Stefan Institute and offers long-term preservation of deposited linguistic resources, along with their descriptive metadata. The integration of the repository with the CLARIN infrastructure gives the deposited resources wide exposure, so that they can be known, used and further developed beyond the lifetime of the projects in which they were produced. Among the resources currently available in the CLARIN.SI repository are the multilingual MULTEXT-East resources, the CC version of Slovenian reference corpus Gigafida, the morphological lexicon Sloleks, the IMP corpora and lexicons of historical Slovenian, as well as many other resources for a variety of languages. Furthermore, several REST-based web services are provided for different corpus-linguistic and NLP tasks.
Sound and Vision has one of the largest audiovisual archives in Europe. The institute manages over 70 percent of the Dutch audiovisual heritage. The collection contains more than a million hours of television, radio, music and film from the beginning in 1898 until today. All programs of the Dutch public broadcasters come in digitally every day. Individuals and institutions entrust their collection to Sound and Vision as well. The institute ensures that the material is optimally preserved for (re)use. Broadcasters, producers and editors use the archive for the creation of new programs. The collection is also used to develop products and services for a wide audience, such as exhibitions, iPhone applications, DVD boxes and various websites. The collection of Sound and Vision contains the complete radio and television archives of the Dutch public broadcasters; films of virtually every leading Dutch documentary maker; newsreels; the national music depot; various audiovisual corporate collections; advertising, radio and video material of cultural and social organizations, of scientific institutes and of all kinds of educational institutions. There are also collections of images and articles from the history of Dutch broadcasting itself, like the elaborate collection of historical television sets.
The focus of PolMine is on texts published by public institutions in Germany. Corpora of parliamentary protocols are at the heart of the project: Parliamentary proceedings are available for long stretches of time, cover a broad set of public policies and are in the public domain, making them a valuable text resource for political science. The project develops repositories of textual data in a sustainable fashion to suit the research needs of political science. Concerning data, the focus is on converting text issued by public institutions into a sustainable digital format (TEI/XML).
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The INAH Media Library is the open access repository of the National Institute of Anthropology and History of Mexico. Its objective is to preserve and make accessible the digital representation of the historical and cultural heritage under its custody, as well as the scientific knowledge it generates through its education and research centres.
The repository is part of the National Research Data Infrastructure initiative Text+, in which the University of Tübingen is a partner. It is housed at the Department of General and Computational Linguistics. The infrastructure is maintained in close cooperation with the Digital Humanities Centre, which is a core facility of the university, colaborating with the library and computing center of the university. Integration of the repository into the national CLARIN-D and international CLARIN infrastructures gives it wide exposure, increasing the likelihood that the resources will be used and further developed beyond the lifetime of the projects in which they were developed. Among the resources currently available in the Tübingen Center Repository, researchers can find widely used treebanks of German (e.g. TüBa-D/Z), the German wordnet (GermaNet), the first manually annotated digital treebank (Index Thomisticus), as well as descriptions of the tools used by the WebLicht ecosystem for natural language processing.
The scores and libretti in this Virtual Collection include first and early editions and manuscript copies of music from the eighteenth and early nineteenth centuries by J.S. Bach and Bach family members, Mozart, Schubert and other composers, as well as multiple versions of nineteenth century opera scores, seminal works of musical modernism, and music of the Second Viennese School. Many, such as variant editions of nineteenth century operas and related libretti, fall into intellectually related sets that are meant to be seen and used together. As a group, they give scholars a window into the study of historical performance practice that cannot be duplicated using the holdings of any one other library.
The Forensic Linguistic Databank (FoLD) is a permanent, controlled access online repository for forensic linguistic data, including malicious communication data, investigative interview data, and forensic evidence validation data for both speech and text. We broadly understand forensic linguistics as any academic research with a potential to improve the delivery of justice through the analysis of language. FoLD thus comprises a wide range of datasets with relevance to forensic linguistics and language and law, including commercial extortion letters, investigative interviews in police and other contexts, legal documents, forum posts from far-right online groups, and comment threads from political blogs. The intention for the databank is to not only further academic research into forensic linguistics by developing new methods and approaches but also to directly contribute to impact in assisting the delivery of justice. Therefore, research projects using this data will validate methods for forensic analysis, further the effectiveness of interviewing techniques used by British police, and help tackle internet crime and abuse on behalf of law enforcement beneficiaries, such as the National Crime Agency.
The National Library of Scotland was formally constituted by an Act of Parliament in 1925 and is one of six libraries covered by the UK legal deposit system. The Library is Scotland's national archive for published and other literary heritage materials. One of our primary responsibilities is to safeguard the collections for future generations. Our collections care facility is recognised nationally and internationally as a centre of excellence for the preservation and conservation of library materials. NLS includes "Data Foundry", data collections from the National Library of Scotland.
Currently the institute has more than 700 collections consisting of (digital) research data, digitized material, archival collections, printed material, handwritten questionnaires, maps and pictures. The focus is on resources relevant for the study of function, meaning and coherence of cultural expressions and resources relevant for the structural, dialectological and sociolinguistic study of language variation within the Dutch language. An overview is here https://meertens.knaw.nl/en/datasets/