Data provider

The mission of CLARIN-DK is to provide easy and sustainable access for scholars in the humanities and social sciences to digital language data (in written, spoken, video or multimodal form) and to provide advanced tools for discovering, exploring, exploiting, annotating, and analyzing them. CLARIN-DK also shares knowledge on Danish language technology and resources and is the Danish node in the European CLARIN-ERIC. The objective of the CLARIN Centre at the University of Copenhagen is to fulfill the CLARIN-DK mission. The centre provides data management consultation and support in connection with depositing and reuse of research data.

Depositing service for any linguistic and/or NLP data and tools: corpora, treebanks, lexica, but also trained language models, parsers, taggers, machine translation systems, web services, etc.

ARCHE (A Resource Centre for the HumanitiEs) is a service that offers stable and persistent hosting as well as the dissemination of digital research data and resources for the Austrian humanities community. ARCHE welcomes data from all humanities fields.

This is a list of wordlists that are available as part of the CLARIN Resource Families initiative.

Wordlists are lexical resources which only provide alphabetical or frequency-based lexical inventories. In the vast majority of the cases, the wordlists can be directly downloaded from CLARIN national repositories or queried through easy-to-use online search environments.

This is a list of glossaries that are available as part of the CLARIN Resource Families initiative.

Glossaries are specialised dictionaries that contain domain-specific terminology and/or expressions. In the vast majority of the cases, the glossaries can be directly downloaded from CLARIN national repositories or queried through easy-to-use online search environments.

This is a list of conceptual resources that are available as part of the CLARIN Resource Families initiative.

Concept-based resources include onomasiological lexical resources such as wordnets, framenets, thesauri and ontologies. Such resources are typically interlinked with semantic relations (e.g. hypernymy, hyponymy). In the vast majority of the cases, the conceptual resources can be directly downloaded from the national repositories or queried through easy-to-use online search environments.

This is a list of dictionaries that are available as part of the CLARIN Resource Families initiative.

Dictionaries were primarily created for human use (e.g., language learning/teaching, translation, lexicology) and are typically semasiological, which means that they are organized around words and contain information on their meanings, definitions, pronunciation, etc. 

This is a list of lexica that are available as part of the CLARIN Resource Families initiative.

Lexica are primarily used in NLP applications. They typically contain an extensive lexical inventory with specific linguistic information (e.g., morphosyntax, sentiment). In the vast majority of the cases, the lexica can be directly downloaded from CLARIN repositories or queried through easy-to-use online search environments.

This is a list of parliamentary corpora that are available as part of the CLARIN Resource Families initiative.

Parliamentary corpora are a very important multidisciplinary language resource that can be approached from many research perspectives, including not only political science, but also sociology, history, psychology, and applicative approaches to linguistics, for instance, critical discourse analysis. The good availability of parliamentary proceedings in digitized form and granted access rights to public information in the EU countries have motivated a number of national as well as international initiatives to compile, process and analyse parliamentary corpora.

This is a list of manually annotated corpora that are available as part of the CLARIN Resource Families initiative.

Manual corpora are collections of texts containing manually validated or manually assigned linguistic information, such as morphosyntactic tags, lemmas, syntactic parses, named entities etc. These corpora can be used to train new language annotation tools as well as to test the accuracy of existing annotation tools. 

The corpora and corpus collections are classified into 6 categories based on the type of manual annotation:

• PoS/MSD tagging,
• Lemmatisation,
• Syntactic parsing,
• Named Entity recognition,
• Sentiment analysis, and
• Other.