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Found 198 result(s)
Språkbanken was established in 1975 as a national center located in the Faculty of Arts, University of Gothenburg. Allén's groundbreaking corpus linguistic research resulted in the creation of one of the first large electronic text corpora in another language than English, with one million words of newspaper text. The task of Språkbanken is to collect, develop, and store (Swedish) text corpora, and to make linguistic data extracted from the corpora available to researchers and to the public.
The University of Oxford Text Archive develops, collects, catalogues and preserves electronic literary and linguistic resources for use in Higher Education, in research, teaching and learning. We also give advice on the creation and use of these resources, and are involved in the development of standards and infrastructure for electronic language resources.
The German Text Archive (Deutsches Textarchiv, DTA) presents online a selection of key German-language works in various disciplines from the 17th to 19th centuries. The electronic full-texts are indexed linguistically and the search facilities tolerate a range of spelling variants. The DTA presents German-language printed works from around 1650 to 1900 as full text and as digital facsimile. The selection of texts was made on the basis of lexicographical criteria and includes scientific or scholarly texts, texts from everyday life, and literary works. The digitalisation was made from the first edition of each work. Using the digital images of these editions, the text was first typed up manually twice (‘double keying’). To represent the structure of the text, the electronic full-text was encoded in conformity with the XML standard TEI P5. The next stages complete the linguistic analysis, i.e. the text is tokenised, lemmatised, and the parts of speech are annotated. The DTA thus presents a linguistically analysed, historical full-text corpus, available for a range of questions in corpus linguistics. Thanks to the interdisciplinary nature of the DTA Corpus, it also offers valuable source-texts for neighbouring disciplines in the humanities, and for scientists, legal scholars and economists.
The Text Laboratory provides assistance with databases, word lists, corpora and tailored solutions for language technology. We also work on research and development projects alone or in cooperation with others - locally, nationally and internationally. Services and tools: Word and frequency lists, Written corpora, Speech corpora, Multilingual corpora, Databases, Glossa Search Tool, The Oslo-Bergen Tagger, GREI grammar games, Audio files: dialects from Norway and America etc., Nordic Atlas of Language Structures (NALS) Journal, Norwegian in America, NEALT, Ethiopian Language Technology, Access to Corpora
The CLARIN­/Text+ repository at the Saxon Academy of Sciences and Humanities in Leipzig offers long­term preservation of digital resources, along with their descriptive metadata. The mission of the repository is to ensure the availability and long­term preservation of resources, to preserve knowledge gained in research, to aid the transfer of knowledge into new contexts, and to integrate new methods and resources into university curricula. Among the resources currently available in the Leipzig repository are a set of corpora of the Leipzig Corpora Collection (LCC), based on newspaper, Wikipedia and Web text. Furthermore several REST-based webservices are provided for a variety of different NLP-relevant tasks The repository is part of the CLARIN infrastructure and part of the NFDI consortium Text+. It is operated by the Saxon Academy of Sciences and Humanities in Leipzig.
CLARIN-UK is a consortium of centres of expertise involved in research and resource creation involving digital language data and tools. The consortium includes the national library, and academic departments and university centres in linguistics, languages, literature and computer science.
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The Berlin-Brandenburg Academy of Sciences and Humanities (BBAW) is a CLARIN partner institution and has been an officially certified CLARIN service center since June 20th, 2013. The CLARIN center at the BBAW focuses on historical text corpora (predominantly provided by the 'Deutsches Textarchiv'/German Text Archive, DTA) as well as on lexical resources (e.g. dictionaries provided by the 'Digitales Wörterbuch der Deutschen Sprache'/Digital Dictionary of the German Language, DWDS).
In collaboration with other centres in the Text+ consortium and in the CLARIN infrastructure, the CLARIND-UdS enables eHumanities by providing a service for hosting and processing language resources (notably corpora) for members of the research community. CLARIND-UdS centre thus contributes of lifting the fragmentation of language resources by assisting members of the research community in preparing language materials in such a way that easy discovery is ensured, interchange is facilitated and preservation is enabled by enriching such materials with meta-information, transforming them into sustainable formats and hosting them. We have an explicit mission to archive language resources especially multilingual corpora (parallel, comparable) and corpora including specific registers, both collected by associated researchers as well as researchers who are not affiliated with us.
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).
CLARIN-LV is a national node of Clarin ERIC (Common Language Resources and Technology Infrastructure). The mission of the repository is to ensure the availability and long­ term preservation of language resources. The data stored in the repository are being actively used and cited in scientific publications.
The TextGrid Repository is a digital preservation archive for human sciences research data. It offers an extensive searchable and adaptable corpus of XML/TEI encoded texts, pictures and databases. Amongst the continuously growing corpus is the Digital Library of TextGrid, which consists of works of more than 600 authors of fiction (prose verse and drama) as well as nonfiction from the beginning of the printing press to the early 20th century written in or translated into German. The files are saved in different output formats (XML, ePub, PDF), published and made searchable. Different tools e.g. viewing or quantitative text-analysis tools can be used for visualization or to further research the text. The TextGrid Repository is part of the virtual research environment TextGrid, which besides offering digital preservation also offers open-source software for collaborative creations and publications of e.g. digital editions that are based on XML/TEI.
eLaborate is an online work environment in which scholars can upload scans, transcribe and annotate text, and publish the results as on online text edition which is freely available to all users. Short information about and a link to already published editions is presented on the page Editions under Published. Information about editions currently being prepared is posted on the page Ongoing projects. The eLaborate work environment for the creation and publication of online digital editions is developed by the Huygens Institute for the History of the Netherlands of the Royal Netherlands Academy of Arts and Sciences. Although the institute considers itself primarily a research facility and does not maintain a public collection profile, Huygens ING actively maintains almost 200 digitally available resource collections.
SWE-CLARIN is a national node in European Language and Technology Infrastructure (CLARIN) - an ESFRI initiative to build an infrastructure for e-science in the humanities and social sciences. SWE-CLARIN makes language-based materials available as research data using advanced processing tools and other resources. One basic idea is that the increasing amount of text and speech - contemporary and historical - as digital research material enables new forms of e-science and new ways to tackle old research issues.
The Language Bank features text and speech corpora with different kinds of annotations in over 60 languages. There is also a selection of tools for working with them, from linguistic analyzers to programming environments. Corpora are also available via web interfaces, and users can be allowed to download some of them. The IP holders can monitor the use of their resources and view user statistics.
The focus of CLARIN INT Portal is on resources that are relevant to the lexicological study of the Dutch language and on resources relevant for research in and development of language and speech technology. For Example: lexicons, lexical databases, text corpora, speech corpora, language and speech technology tools, etc. The resources are: Cornetto-LMF (Lexicon Markup Framework), Corpus of Contemporary Dutch (Corpus Hedendaags Nederlands), Corpus Gysseling, Corpus VU-DNC (VU University Diachronic News text Corpus), Dictionary of the Frisian Language (Woordenboek der Friese Taal), DuELME-LMF (Lexicon Markup Framework), Language Portal (Taalportaal), Namescape, NERD (Named Entity Recognition and Disambiguation) and TICCLops (Text-Induced Corpus Clean-up online processing system).
An increasing number of Language Resources (LT) in the various fields of Human Language Technology (HLT) are distributed on behalf of ELRA via its operational body ELDA, thanks to the contribution of various players of the HLT community. Our aim is to provide Language Resources, by means of this repository, so as to prevent researchers and developers from investing efforts to rebuild resources which already exist as well as help them identify and access those resources.
As a member of SWE-CLARIN, the Humanities Lab will provide tools and expertise related to language archiving, corpus and (meta)data management, with a continued emphasis on multimodal corpora, many of which contain Swedish resources, but also other (often endangered) languages, multilingual or learner corpora. As a CLARIN K-centre we provide advice on multimodal and sensor-based methods, including EEG, eye-tracking, articulography, virtual reality, motion capture, av-recording. Current work targets automatic data retrieval from multimodal data sets, as well as the linking of measurement data (e.g. EEG, fMRI) or geo-demographic data (GIS, GPS) to language data (audio, video, text, annotations). We also provide assistance with speech and language technology related matters to various projects. A primary resource in the Lab is The Humanities Lab corpus server, containing a varied set of multimodal language corpora with standardised metadata and linked layers of annotations and other resources.
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 !!!
ORTOLANG is an EQUIPEX project accepted in February 2012 in the framework of investissements d’avenir. Its aim is to construct a network infrastructure including a repository of language data (corpora, lexicons, dictionaries etc.) and readily available, well-documented tools for its processing. Expected outcomes comprize: promoting research on analysis, modelling and automatic processing of our language to their highest international levels thanks to effective resource pooling; facilitating the use and transfer of resources and tools set up within public laboratories to industrial partners, notably SMEs which often cannot develop such resources and tools for language processing given the cost of investment; promoting French language and the regional languages of France by sharing expertise acquired by public laboratories. ORTOLANG is a service for the language, which is complementary to the service offered by Huma-Num (très grande infrastructure de recherche). Ortolang gives access to SLDR for speech, and CNRTL for text resources.
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.
As with most biomedical databases, the first step is to identify relevant data from the research community. The Monarch Initiative is focused primarily on phenotype-related resources. We bring in data associated with those phenotypes so that our users can begin to make connections among other biological entities of interest. We import data from a variety of data sources. With many resources integrated into a single database, we can join across the various data sources to produce integrated views. We have started with the big players including ClinVar and OMIM, but are equally interested in boutique databases. You can learn more about the sources of data that populate our system from our data sources page https://monarchinitiative.org/about/sources.
The European Union Clinical Trials Register allows you to search for protocol and results information on interventional clinical trials that are conducted in the European Union (EU) and the European Economic Area (EEA) and clinical trials conducted outside the EU / EEA that are linked to European paediatric-medicine development. The EU Clinical Trials Register is part of EudraPharm, which is the community database of authorised medicinal products. The website provides public access to information extracted from the European Union Drug Regulating Authorities Clinical Trials Database, EudraCT.
Eurostat is the statistical office of the European Union situated in Luxembourg. Its task is to provide the European Union with statistics at European level that enable comparisons between countries and regions. Eurostat offers a whole range of important and interesting data that governments, businesses, the education sector, journalists and the public can use for their work and daily life.
KiMoSys, a web application for quantitative KInetic MOdels of biological SYStems. Kinetic models, with the aim to understand and subsequently design the metabolism of organism of interest are constructed iteratively and require accurate experimental data for both the generation and verification of hypotheses. Therefore, there is a growing requirement for exchanging experimental data and models between the systems biology community, and to automate as much as possible the kinetic model building, editing, simulation and analysis steps.