Wablieft corpus: Difference between revisions

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* version 1.2
* version 1.2
* [https://limo.libis.be/primo-explore/fulldisplay?docid=LIRIAS2859003&context=L&vid=Lirias&search_scope=Lirias&tab=default_tab&lang=en_US&fromSitemap=1 Vincent Vandeghinste, Bram Bulté & Liesbeth Augustinus (2019).  Wablieft: An Easy-to-Read Newspaper corpus for Dutch. In ''CLARIN Annual Conference 2019 Proceedings''. pp.188-191. Leipzig, Germany.]
* [https://limo.libis.be/primo-explore/fulldisplay?docid=LIRIAS2859003&context=L&vid=Lirias&search_scope=Lirias&tab=default_tab&lang=en_US&fromSitemap=1 Vincent Vandeghinste, Bram Bulté & Liesbeth Augustinus (2019).  Wablieft: An Easy-to-Read Newspaper corpus for Dutch. In ''CLARIN Annual Conference 2019 Proceedings''. pp.188-191. Leipzig, Germany.]
* [https://hdl.handle.net/10032/tm-a2-q6 Persistent identifier]


== Description ==
== Description ==
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There is an agreement with Wablieft for the distribution of this material for non-commercial purposes. Commercial parties can contact Wablieft to obtain a license for the material.
There is an agreement with Wablieft for the distribution of this material for non-commercial purposes. Commercial parties can contact Wablieft to obtain a license for the material.
== Download page ==
[https://taalmaterialen.ivdnt.org/download/tstc-wablieft-corpus-1-2/ https://taalmaterialen.ivdnt.org/download/tstc-wablieft-corpus-1-2/]

Latest revision as of 09:49, 21 October 2024

Properties

Description

The Wablieft corpus contains the digital archive of the Wablieft newspaper (period 2011-2017), as also available on the website http://www.wablieft.be/krant/archief.

It contains 2 million words of newspaper material in easy to read Dutch. Metadata is available regarding the newspaper section (interior, sport, ...) and the publication date. This concerns all material since the newspaper became fully available digitally and online, from 2011 to December 2017.

The data is available in different formats: original text files, text files with one sentence per line, annotated with Frog (POS tagging, lemmatisation, morphology, named entity recognition, chunking, dependency relationships) in FoLiA or CoNNL, and analyzed syntactically with Alpino, in Alpino-XML.

There is an agreement with Wablieft for the distribution of this material for non-commercial purposes. Commercial parties can contact Wablieft to obtain a license for the material.