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  • Organisation: Utrecht University
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  • COBWWWEB: Connections Between Women and Writings Within European Borders

    The WomenWriters database includes biographical data on more than 4.000 authors and over 22.000 references to reception data found in sources like the periodical press, early literary history and private correspondences. A significant part of the dataset was collected in the NWO digitizing project The International Reception of Women’s Writing (2004-2007), focusing on authors received in the Netherlands. A second NWO internationalising project called New approaches to European Women’s Writing (2007-2010) and the subsequent COST Action Women Writers in History (2009‐2013) brought together a large international community of scholars and used the Dutch data collection as an example for other colleagues. COBWWWEB enables a connection between the various national projects on this subject into a growing international data network. A virtual research environment on top of this network makes all material from participating data providers accessible for European and interdisciplinary research.

  • PaQu - Parse and Query

    PaQu uses the Alpino parser to make treebanks of your own text corpus, and to search in these treebanks using an interface based on the LASSY Word Relations Search interface (http://dev.clarin.nl/node/1966). Several treebanks are already available in the application, such as: Lassy Klein (1M words, manually checked syntactic analysis) and Lassy Groot (700M words, syntactic analysis automatically assigned by Alpino). PaQu offers two ways to search through the syntactically annotated texts. The first option is to use the search bar to look for word pairs, optionally complemented by their syntactic relationship. The second search option is to use the query language XPath.
    Odijk, J, van Noord, G, Kleiweg, P and Tjong Kim Sang, E. 2017. The Parse and Query (PaQu) Application. In: Odijk, J and van Hessen, A. (eds.) CLARIN in the Low Countries, Pp. 281–297. London: Ubiquity Press. DOI: https://doi.org/10.5334/bbi.23. License: CC-BY 4.0

  • A Distributed Lemmatizer for Historical Dutch

    With this web-application an end user can have historical Dutch texts tokenized, lemmatized and part-of-speech tagged, using the most appropriate resources (such as lexica) for the text in question. For each specific text, the user can select the best resources from those available in CLARIN, wherever they might reside, and where necessary supplemented by own lexica. The software can also be used as a web service.

  • Arthurian Fiction

    This research tool provides information on medieval Arthurian narratives and the manuscripts in which they are transmitted throughout Europe. The tool discloses a database consists of linked records on over two hundred texts, more than thousand manuscripts and two hundred persons. The database is work in progress: a considerable number of records have yet to be completed, while fresh discoveries of narratives and manuscripts invite new entries. The compilers of the database hope that this tool will contribute to further research into Arthurian fiction as a pan-European phenomenon. The Arthurian Fiction web application enables searching for manuscripts, narratives and persons from the Arthurian Fiction narratives and manuscripts metadata database Arthurian Fiction Data. Each of these object types can be searched for using facets specific to the object type. These include: - for manuscripts: institute, date, origin, physical form, extant leave, leaf sizes, illustration type, scripts, scribe, patron and several more; - for narratives: date, origin, languages, cycle, manuscript, author, patron, verse type, meter, length, intertextuality properties and many more; - for persons: name, gender, subtype, background, manuscript, and narratives. The user can, if desired, select a subset of the facets to work with. In addition, keyword search is possible for all fields, query results can be sorted by a variety of keys and queries can be saved. There is also a web service with an API for the Arthurian Fiction narratives and manuscripts database. This web service makes use of SOLR queries via HTTP POST requests.
    This movie is in Dutch with English subtitles.
    Besamusca, A.A.M. and Quinlan, J. (2012). The Fringes of Arthurian Fiction. Arthurian literature, 29, 191-241.
    Boot, P. (2012), Manuscripten koning Arthur op tafel, E-Data & Research 7(1), 2012.
    Dalen-Oskam, K. van and Besamusca, B. (2011), Arthurian Fiction in Medieval Europe: Narratives and Manuscripts, presentation held at the CLARIN-NL Kick-off meeting Call 2, Utrecht, February 9, 2011.
    Dalen-Oskam, K. van (2011), ArthurianFiction, presentation held at the Call 3 information session, Utrecht, August 25, 2011.

  • Gabmap is a free web-based application for dialectometry. It measures the differences in sets of phonetic (or phonemic) transcriptions via edit distance. Gabmap has a graphical user interface that makes string comparison facility available as a web application.

    Gabmap is a free web-based application for dialectometry. It measures the differences in sets of phonetic (or phonemic) transcriptions via edit distance. Gabmap has a graphical user interface that makes string comparison facility available as a web application. This enables wider experimentation with the techniques. Gabmap (a.k.a. ADEPT) measures pronunciation distances based on transcriptions and aligns pronunciation transcription data. Because the measurements are numeric, they can be aggregated in order to obtain an estimation of overall pronunciation differences among varieties. The software uses a range of edit distance (or Levenshtein) algorithms. It is useful for dialectologists, and has been used extensively in dialectology. It has occasionally been used for other purposes, e.g. trying to identify loan words automatically (Paris, Musée de l’Homme, central Asian project involving Turkic and also Indo-Iranian languages). The software has also been used as the basis of a program to multi-align pronunciation data for the purpose of phylogenetic analysis. The Gabmap developers claim that the program could also be used to measure deviant pronunciation e.g. of second-language learners, or of speakers with speech defects. A variety of related algorithms are implemented in the package of C programs (and R programs) the developers turned into a web application, including a basic version regarding segments only as same or different, and other versions variously respecting consonant/vowel distinctions; using phonetic segment distances as provided via an assignment of phonetic or phonological features to segments; using segment distances as learned from refining alignment correspondences; and applying weightings derived from (inverse) frequency (derived from Goebl’s work) or depending on the position within a word. There are useful auxiliary programs aimed at assisting users in converting phonetic data to X-SAMPA and at spotting errors. (In working with users in the past, the developers have noted that data conversion is a major hurdle.) There are additional meta-analytical calculations aimed at gauging how reliable the signal is from a given set of data, and aimed at comparing various options with respect to the degree to which they capture the geographic cohesion one assumes in dialectology. Gabmap was developed in the CLARIN-NL project ADEPT: Assaying Differences via Edit-Distance of Pronunciation Transcriptions.
    Nerbonne, J., Colen, R., Gooskens, C., Kleiweg, P., and Leinonen, T. (2011). Gabmap — A Web Application for Dialectology. Dialectologica, Special issue II, 65-89.
    T. Leinonen, Ç. Çöltekin, J. Nerbonne, Using Gabmap. Lingua Vol. 178, 71-83, doi:10.1016/j.lingua.2015.02.004

  • Usage

    The system here allows you to convert your book pages' images into editable text, presented in a particular text format called XML (eXtended Markup Language) of a particular type called Text-Encoding Initiative or TEI XML. This particular format was developed specifically for being able to mark-up or annotate the text you want to work on, i.e. to add all manner of further information to the actual text, e.g. to build a critical edition of it, which is most likely exactly what you want to do with your author's work.
    Betti, A, Reynaert, M and van den Berg, H. 2017. @PhilosTEI: Building Corpora for Philosophers. In: Odijk, J and van Hessen, A. (eds.) CLARIN in the Low Countries, Pp. 379–392. London: Ubiquity Press. DOI: https://doi.org/10.5334/bbi.32. License: CC-BY 4.0

  • 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.