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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).
The Tromsø Repository of Language and Linguistics (TROLLing) is a FAIR-aligned repository of linguistic data and statistical code. The archive is open access, which means that all information is available to everyone. All data are accompanied by searchable metadata that identify the researchers, the languages and linguistic phenomena involved, the statistical methods applied, and scholarly publications based on the data (where relevant). Linguists worldwide are invited to deposit data and statistical code used in their linguistic research. TROLLing is a special collection within DataverseNO (http://doi.org/10.17616/R3TV17), and C Centre within CLARIN (Common Language Resources and Technology Infrastructure, a networked federation of European data repositories; http://www.clarin.eu/), and harvested by their Virtual Language Observatory (VLO; https://vlo.clarin.eu/).
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.