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  • VU University Diachronic News text Corpus

    The diachronic corpus has been brought in line with current standards and formats as used in the STEVIN Nederlandstalig Referentiecorpus (SoNaR, under development), which has been adapted to the more general FoLiA format (documented by Van Gompel, 2012). These standards and formats have been extended with new layers of annotation. As a result the corpus adheres to the current day CLARIN infrastructure.

  • OpenSONAR: a 500 MW reference corpus of Contemporary Written Dutch

    SoNaR is a 500-million-word reference corpus of contemporary written Dutch for use in different types of linguistic (incl. lexicographic) and HLT research and the development of applications. The STEVIN funded SoNaR project (2008-2011) built on the results obtained in the D-Coi and Corea projects which were awarded funding in the first call of proposals within the STEVIN programme. SONAR contains over 500 million words (i.e. word tokens) of full texts from a wide variety of text types including both texts from conventional media and texts from the new media. All texts except for texts from the social media (Twitter, Chat, SMS) have been tokenized, tagged for part of speech and lemmatized, while in the same set the Named Entities have been labelled. All annotations were produced automatically, no manual verification took place. The texts are enriched with several annotations (Part of Speech and lemma information) and are available as FoLiA xml files (folia.xml). The system relies on BlackLab server as back-end and WhiteLab as user-interface. OpenSONAR is an online application for exploration of and searching in the SoNaR corpus.
    van de Camp, M, Reynaert,MandOostdijk, N. 2017.WhiteLab 2.0: AWeb Interface for Corpus Exploitation. In: Odijk, J and van Hessen, A. (eds.) CLARIN in the Low Countries, Pp. 231–243. London: Ubiquity Press. DOI: https://doi.org/10.5334/bbi.19. License: CC-BY 4.0
    de Does, J, Niestadt, J and Depuydt, K. 2017. Creating Research Environments with BlackLab. In: Odijk, J and van Hessen, A. (eds.) CLARIN in the Low Countries, Pp. 245–257. London: Ubiquity Press. DOI: https://doi.org/10.5334/bbi.20. License: CC-BY 4.0
    Oostdijk, N., Reynaert, M., Hoste, V., Schuurman, I. (2013) The Construction of a 500 Million Word Reference Corpus of Contemporary Written Dutch in: Essential Speech and Language Technology for Dutch: Results by the STEVIN-programme (eds. P. Spyns, J. Odijk), Springer Verlag.

  • CLARIN Concept Registry

    The CCR is a concept registry according to the W3C SKOS recommendation. It was chosen by CLARIN to serve as a semantic registry to overcome semantic interoperability issues with CMDI metadata and different annotation tag sets used for linguistic annotation. The CCR is part of the CMDI metadata infrastructure. The W3C SKOS recommendation, and the OpenSKOS implementation thereof, provides the means for ‘data-sharing, bridging several different fields of knowledge, technology and practice’. According to this model, each concept is assigned a unique administrative identifier, together with information on the status or decision-making process associated with the concept. In addition, concept specifications in the CCR contain linguistic descriptions, such as definitions and examples, and can be associated with a variety of labels. .

  • CMDI to RDF conversion

    There is growing amount of on-line information available in RDF format as Linked Open Data (LOD) and a strong community very actively promotes its use. The publication of information as LOD is also considered an important signal that the publisher is actively searching for information sharing with a world full of new potential users. Added advantages of LOD, when well used, are the explicit semantics and high interoperability. But the problematic modelling by non-expert users offsets these advantages, which is a reason why modelling systems as CMDI are used. The CMDI2RDF project aims to bring the LOD advantages to the CMDI world and make the huge store of CMDI information available to new groups of users and at the same time offer CLARIN a powerful tool to experiment with new metadata discovery possibilities. The CMD2RDFservice was created to allow connection with the growing LOD world, and facilitate experiments within CLARIN merging CMDI with other, RDF based, information sources. One of the promises of LOD is the ease to link data sets together and answer queries based on this ‘cloud’ of LOD datasets. Thus in the enrichment and use cases part of the project we looked at other datasets to link to the CLARIN joint metadata domain. We used the WALS N3 RDF dump for one of the use cases. Although it is in the end relatively easy to go from a specific typological feature to the CMD records via a shared URI, it still showcased a weakness of the Linked Data approach. One has to carefully inspect the property paths involved. And in this case the path was broken as there was no clear way to go from the WALS feature data to the WALS language info except for extracting the WALS language code from the feature URI pattern and insert it the language URI pattern. This showcases that although the big LOD cloud shows potential for knowledge discovery by crossing dataset boundaries, design decisions in the individual datasets can still hamper algorithms and manual inspection is needed. The CMD2RDF service was developed at the TLA/MPI for Psycholinguistics and DANS and later moved to Meertens Institute where the expertise remains.

  • TermoPL

    Tool used to automatically extract domain terminology from texts. In addition to terminology, the tool can be used to extract multi-word units. Terminology extraction is a helpful mechanism, among others: in creating domain dictionaries, resources for translating texts and document summaries, in developing an ontology of a given field, in document annotation and supporting the search for answers to questions.

  • OCTRA

    OCTRA is a web-application for the orthographic transcription of audio files supporting in place ASR and Word Alignment.

  • Punctuator

    Unlike simple tools built into word processors, this tool applies context-sensitive spelling rules rather than placing characters mechanically. It adds not only punctuation marks, but also dots after ordinal numbers and parentheses around parentheses.

  • Keytool

    Service integrates several keyword determination methods, including generative models and multi-label classification. The combination of several advanced techniques makes the results more reliable and accurate.