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  • Blacklab AutoSearch Corpus Search

    This demonstrator allows users to define one or more corpora and upload data for the corpora, after which the corpora will be made automatically searchable in a private workspace. Users can upload text data annotated with lemma + part of speech tags in TEI or FoLiA format, either as a single XML file or as an archive (zip or tar.gz) containing several XML files. Corpus size is limited to begin with (25 MB limit per uploaded file; 500,000 token limit for an entire corpus), but these limits may be increased at a later point in time. The search application is powered by the INL BlackLab corpus search engine. The search interface is the same as the one used in for example the Corpus of Contemporary Dutch / Corpus Hedendaags Nederlands.
  • WebCelex

    WebCelex is a webbased interface to the CELEX lexical databases of English, Dutch and German. CELEX was developed as a joint enterprise of the University of Nijmegen, the Institute for Dutch Lexicology in Leiden, the Max Planck Institute for Psycholinguistics in Nijmegen, and the Institute for Perception Research in Eindhoven. For each language, the database contains detailed information on: orthography (variations in spelling, hyphenation), phonology (phonetic transcriptions, variations in pronunciation, syllable structure, primary stress), morphology (derivational and compositional structure, inflectional paradigms), syntax (word class, word class-specific subcategorizations, argument structures) and word frequency (summed word and lemma counts, based on recent and representative text corpora).
  • ODISSEI Knowledge Graph

    This repository contains the software we used to extract, transform and load (ETL) data into the platform kg.odissei.nl. If you are mainly interested in the resulting data, feel free to ignore this repository and go to this platform directly.
  • Odissei Code Library

    The ODISSEI code library is a collection of code and scripts used to execute projects using the ODISSEI infrastructure. ODISSEI (Open Data Infrastructure for Social Science and Economic Innovations) is the national research infrastructure for the social sciences in the Netherlands. ODISSEI brings together researchers with the necessary data, expertise and resources to conduct ground-breaking research and embrace the computational turn in social enquiry. Through ODISSEI, researchers have access to large-scale, longitudinal data collections as well as innovative and diverse new forms of data. These can be linked to administrative data at Statistics Netherlands (CBS). Combining data from a wide range of sources enables researchers to answer new, exciting, interdisciplinary research questions and to investigate existing questions in novel, new ways.
  • stam

    Stand-off Text Annotation Model (STAM) is a data model for stand-off-text annotation where any information on a text is represented as an annotation. This repository contains the model's full specification, extensions, schemas, examples and documentation.
  • FLAT: FoLiA-Linguistic-Annotation-Tool

    FLAT is a web-based linguistic annotation environment based around the FoLiA format (http://proycon.github.io/folia), a rich XML-based format for linguistic annotation. FLAT allows users to view annotated FoLiA documents and enrich these documents with new annotations, a wide variety of linguistic annotation types is supported through the FoLiA paradigm. It is a document-centric tool that fully preserves and visualises document structure. Features Web-based, multi-user environment Server-side document storage, divided into 'namespaces', by default each user has his own namespace. Active documents are held in memory server-side. Read and write permissions to access namespaces are fully configurable. Concurrency (multiple users may edit the same document similtaneously) Full versioning control for documents (using git), allowing limitless undo operations. (in foliadocserve) Full annotator information, with timestamps, is stored in the FoLiA XML and can be displayed by the interface. The git log also contains verbose information on annotations. Annotators can indicate their confidence for each annotation Highly configurable interface; interface options may be disabled on a per-configuration basis. Multiple configurations can be deployed on a single installation Displays and retains document structure (divisions, paragraphs, sentence, lists, etc) Support for corrections, of text or linguistic annotations, and alternative annotations. Corrections are never mere substitutes, originals are always preserved! Spelling corrections for runons, splits, insertions and deletions are supported. Supports FoLiA Set Definitions to display label sets. Sets are not predefined in FoLiA and anybody can create their own. Supports Token Annotation and Span Annotation Supports complex span annotations such as dependency relations, syntactic units (constituents), predicates and semantic roles, sentiments, stratements/attribution, observations Simple metadata editor for editing/adding arbitrary metadata to a document. Selected metadata fields can be shown in the document index as well. User permission model featuring groups, group namespaces, and assignable permissions File/document management functions (copying, moving, deleting) Allows converter extensions to convert from other formats to FoLiA on upload In-document search (CQL or FQL), advanced searches can be predefined by administrators Morphosyntactic tree visualisation (constituency parses and morphemes) Higher-order annotation: associate features, comments, descriptions with any linguistic annotation
  • PICCL: Philosophical Integrator of Computational and Corpus Libraries

    PICCL is a set of workflows for corpus building through OCR, post-correction, modernization of historic language and Natural Language Processing. It combines Tesseract Optical Character Recognition, TICCL functionality and Frog functionality in a single pipeline. Tesseract offers Open Source software for optical character recognition. TICCL (Text Induced Corpus Clean-up) is a system that is designed to search a corpus for all existing variants of (potentially) all words occurring in the corpus. This corpus can be one text, or several, in one or more directories, located on one or more machines. TICCL creates word frequency lists, listing for each word type how often the word occurs in the corpus. These frequencies of the normalized word forms are the sum of the frequencies of the actual word forms found in the corpus. TICCL is a system that is intended to detect and correct typographical errors (misprints) and OCR errors (optical character recognition) in texts. When books or other texts are scanned from paper by a machine, that then turns these scans, i.e. images, into digital text files, errors occur. For instance, the letter combination `in' can be read as `m', and so the word `regeering' is incorrectly reproduced as `regeermg'. TICCL can be used to detect these errors and to suggest a correct form. Frog enriches textual documents with various linguistic annotations.
    Martin Reynaert, Maarten van Gompel, Ko van der Sloot and Antal van den Bosch. 2015. PICCL: Philosophical Integrator of Computational and Corpus Libraries. Proceedings of CLARIN Annual Conference 2015, pp. 75-79. Wrocław, Poland. http://www.nederlab.nl/cms/wp-content/uploads/2015/10/Reynaert_PICCL-Philosophical-Integrator-of-Computational-and-Corpus-Libraries.pdf
    PICCL