This corpus was originally created for performance testing (server infrastructure CorpusExplorer - see: diskurslinguistik.net / diskursmonitor.de). It includes the filtered database (German texts only) of CommonCrawl (as of March 2018). First, the URLs were filtered according to their top-level domain (de, at, ch). Then the texts were classified using NTextCat and only uniquely German texts were included in the corpus. The texts were then annotated using TreeTagger (token, lemma, part-of-speech). 2.58 million documents - 232.87 million sentences - 3.021 billion tokens. You can use CorpusExplorer (http://hdl.handle.net/11234/1-2634) to convert this data into various other corpus formats (XML, JSON, Weblicht, TXM and many more).
The representative full-text digitalized HetWiK corpus is composed of 140 manually annotated texts of the German Resistance between 1933 and 1945. This includes both well-known and relatively unknown documents, public writings, like pamphlets or memoranda, as well as private texts, e.g. letters, journal or prison entries and biographies. Thus the corpus represents the diverse groups as well as the heterogeneity of verbal resistance and allows the study of resistance in relation to the language usage.
The HetWiK corpus can be used free of charge. A detailed register of the individual texts and further information about the tagset can be found on the project-homepage (german). In addition to the CATMA5 XML-format we provide a standoff-JSON format and CEC6-Files (CorpusExplorer) - so you can export the HetWiK corpus in different formats.
OpenLegalData is a free and open platform that makes legal documents and information available to the public. The aim of this platform is to improve the transparency of jurisprudence with the help of open data and to help people without legal training to understand the justice system. The project is committed to the Open Data principles and the Free Access to Justice Movement.
OpenLegalData's DUMP as of 2022-10-18 was used to create this corpus. The data was cleaned, automatically annotated (TreeTagger: POS & Lemma) and grouped based on the metadata (jurisdiction - BundeslandID - sub-size if applicable - ex: Verwaltungsgerichtsbarkeit_11_05.cec6.gz - jurisdiction: administrative jurisdiction, BundeslandID = 11 - sub-corpus = 05). Sub-corpora are randomly split into 50 MB each.
Corpus data is available in CEC6 format. This can be converted into many different corpus formats - use the software www.CorpusExplorer.de if necessary.
This is the first release of the UFAL Parallel Corpus of North Levantine, compiled by the Institute of Formal and Applied Linguistics (ÚFAL) at Charles University within the Welcome project (https://welcome-h2020.eu/). The corpus consists of 120,600 multiparallel sentences in English, French, German, Greek, Spanish, and Standard Arabic selected from the OpenSubtitles2018 corpus [1] and manually translated into the North Levantine Arabic language. The corpus was created for the purpose of training machine translation for North Levantine and the other languages.