The tools allows users to browse in corpora, data-sets, data-bases etc.


Nederlab, online laboratory for humanities research on Dutch text collections


A user-friendly and tool-enriched open access web interface that that aims at containing all digitized texts relevant for the Dutch national heritage and the history of Dutch language and culture (c. 800 - present).




AutoSearch allows users to upload corpora annotated at the token level for (extended) part of speech, lemma and word form in FoLiA or


OpenSONAR: a 500 MW reference corpus


OpenSoNaR is an online system that allows for analyzing and searching the large scale Dutch reference corpus SoNaR. Due to the size of the corpus (500 million words), accessing the information contained in the dataset has proven to be difficult for less technically inclined researchers. OpenSoNaR facilitates the use of the SoNaR corpus by providing a user-friendly online interface.


PaQu - Parse and Query


The PaQu web service makes it possible to search in syntactically annotated corpora in Dutch. You can parse your own Dutch text corpus or use one of two corpora provided by the developers.


SHEBANQ: System for HEBrew Text: ANnotations for Queries and Markup


A web application that enables researchers to perform linguistic queries on the WIVU Hebrew Text Database and preserve significant results as annotations to this resource. This database contains the Hebrew text of the Old Testament enriched with many linguistic features at the morpheme level up to the discourse level.


RemBench - a Digital Workbench for Rembrandt Research


RemBench enables one to search and browse for works of art, artists, primary sources and library sources related to Rembrandt, using faceted search by location, author/artist name, author/artist type, and date range, and/or by both exact and fuzzy keyword search. It offers both a web application and a RESTful web service.


The VLO is a faceted browser that shows the metadata records harvested from within the CLARIN joint metadata domain. Next to that it also shows part of the Language Resource metadata that can be harvested from the OLAC domain.