The January 2018 release of the ParaCrawl is the first version of the corpus. It contains parallel corpora for 11 languages paired with English, crawled from a large number of web sites. The selection of websites is based on CommonCrawl, but ParaCrawl is extracted from a brand new crawl which has much higher coverage of these selected websites than CommonCrawl. Since the data is fairly raw, it is released with two quality metrics that can be used for corpus filtering. An official "clean" version of each corpus uses one of the metrics. For more details and raw data download please visit: http://paracrawl.eu/releases.html
ParCorFull is a parallel corpus annotated with full coreference chains that has been created to address an important problem that machine translation and other multilingual natural language processing (NLP) technologies face -- translation of coreference across languages. Our corpus contains parallel texts for the language pair English-German, two major European languages. Despite being typologically very close, these languages still have systemic differences in the realisation of coreference, and thus pose problems for multilingual coreference resolution and machine translation. Our parallel corpus covers the genres of planned speech (public lectures) and newswire. It is richly annotated for coreference in both languages, including annotation of both nominal coreference and reference to antecedents expressed as clauses, sentences and verb phrases. This resource supports research in the areas of natural language processing, contrastive linguistics and translation studies on the mechanisms involved in coreference translation in order to develop a better understanding of the phenomenon.
This multilingual resource contains corpora in which verbal MWEs have been manually annotated. VMWEs include idioms (let the cat out of the bag), light-verb constructions (make a decision), verb-particle constructions (give up), inherently reflexive verbs (help oneself), and multi-verb constructions (make do). This is the first release of the corpora without an associated shared task. Previous version (1.2) was associated with the PARSEME Shared Task on semi-supervised Identification of Verbal MWEs (2020). The data covers 26 languages corresponding to the combination of the corpora for all previous three editions (1.0, 1.1 and 1.2) of the corpora. VMWEs were annotated according to the universal guidelines. The corpora are provided in the cupt format, inspired by the CONLL-U format. Morphological and syntactic information, including parts of speech, lemmas, morphological features and/or syntactic dependencies, are also provided. Depending on the language, the information comes from treebanks (e.g., Universal Dependencies) or from automatic parsers trained on treebanks (e.g., UDPipe). All corpora are split into training, development and test data, following the splitting strategy adopted for the PARSEME Shared Task 1.2. The annotation guidelines are available online: https://parsemefr.lis-lab.fr/parseme-st-guidelines/1.3 The .cupt format is detailed here: https://multiword.sourceforge.net/cupt-format/
4. Aufl. 1857-1865; wortgenaue Seitenkonkordanz zu der gedruckten Ausgabe; laut dem im Untertitel angegebenen Eigenanspruch ein "enzyklopädisches Wörterbuch"
Wikipedia plain text data obtained from Wikipedia dumps with WikiExtractor in February 2018.
The data come from all Wikipedias for which dumps could be downloaded at [https://dumps.wikimedia.org/]. This amounts to 297 Wikipedias, usually corresponding to individual languages and identified by their ISO codes. Several special Wikipedias are included, most notably "simple" (Simple English Wikipedia) and "incubator" (tiny hatching Wikipedias in various languages).
For a list of all the Wikipedias, see [https://meta.wikimedia.org/wiki/List_of_Wikipedias].
The script which can be used to get new version of the data is included, but note that Wikipedia limits the download speed for downloading a lot of the dumps, so it takes a few days to download all of them (but one or a few can be downloaded fast).
Also, the format of the dumps changes time to time, so the script will probably eventually stop working one day.
The WikiExtractor tool [http://medialab.di.unipi.it/wiki/Wikipedia_Extractor] used to extract text from the Wikipedia dumps is not mine, I only modified it slightly to produce plaintext outputs [https://github.com/ptakopysk/wikiextractor].
Contains linguistic annotated data from the Online-Forum PC Games (https://forum.pcgames.de). The forum is concerned about gaming. All posts (approx. 2.4 mio) where scraped in April 2019 (details see Kissling 2019), resulting in 120 mio tokens of almost 70'000 authors. The data is saved in a SQL-database and can be accessed using eg. pg_restore. The database itself and the tables of the database contain detailed self-descriptions.
In this database you find tokenized, part-of-speech-tagged and party lemmatized information of every token in the forum and its metadata (usernames and their location in the forum structure, e.g. which post(s), thread, subforum it belongs to). The order of the words in a post cannot be reconstructed with this corpus. Usernames were replaced with author_ids to protect the personal rights of the post authors.
Additional information:
As this corpus was analyzed in terms of productivity and language contact of German and English (Kissling 2020), there is additional information about German base forms found in present day English, mainly focussing on the formula "German_verb_stem + -en = English verb infinitive". Therefore the API of the Oxford Dictionary of English was used. You will find the results of the API request done with Oxford Dictionary of English in the table infinitives. The corpus can be used without using this information, too.
Calculations were performed at sciCORE (http://scicore.unibas.ch/) scientific computing core facility at University of Basel on 2019-09-10. This database contains all of the primary corpus of Kissling (2020).
Sources:
Kissling, J. (2019). Computerunterstütztes Verfahren zur Erhebung eigener Textkorpus-Daten. Methodenentwicklung und Anwendung auf 2.4 Mio. Posts des Forums PC Games.de [certification thesis]. Universität Basel.
Kissling, J. (2020). Produktivität englischer Verben im Deutschen [master thesis]. Universität Basel.
The used scraper is available on github: https://github.com/vizzerdrix55/web-scraping-vBulletin-forum
Possibility to download or to browse free electronic books; Angebot: Download von und Online-Zugang zu frei verfügbaren E-Books; deutschsprachige Literatur stellt nur einen Teilbereich der verfügbaren E-Books dar
Post-editing and MQM annotations produced by the QT21 project. As described in
@InProceedings{specia-etal_MTSummit:2017,
author = {Specia, Lucia and Kim Harris and Frédéric Blain and Aljoscha Burchardt and Viviven Macketanz and Inguna Skadiņa and Matteo Negri and and Marco Turchi},
title = {Translation Quality and Productivity: A Study on Rich Morphology Languages},
booktitle = {Proceedings of Machine Translation Summit XVI},
year = {2017},
pages = {55--71},
address = {Nagoya, Japan},
}