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  • Alpino: a dependency parser for Dutch

    Alpino is a dependency parser for Dutch, developed in the context of the PIONIER Project Algorithms for Linguistic Processing.
    Bouma, G., van Noord, G. J. M. and Malouf, R. 2001.Alpino: Wide-coverage computational analysis of Dutch. in Daelemans, W., Simaan, K., Veenstra, J. and Zavrel, J. (eds.). Computational Linguistics in the Netherlands 2000. Amsterdam: Rodopi, p. 45-59 15 p. (LANGUAGE AND COMPUTERS : STUDIES IN PRACTICAL LINGUISTICS)
    Robert Malouf and Gertjan van Noord. Wide Coverage Parsing with Stochastic Attribute Value Grammars. In: IJCNLP-04 Workshop Beyond Shallow Analyses - Formalisms and statistical modeling for deep analyses.
    Leonoor van der Beek, Gosse Bouma, and Gertjan van Noord. Een brede computationele grammatica voor het Nederlands. 2002. Nederlandse Taalkunde. https://www.let.rug.nl/~vannoord/papers/taalkunde.pdf .

  • Automatic Transcription of Oral History Interviews

    This webservice and web application uses automatic speech recognition to provide the transcriptions of recordings spoken in Dutch. You can upload and process only one file per project. For bulk processing and other questions, please contact Henk van den Heuvel at h.vandenheuvel@let.ru.nl.

  • OpenConvert

    The OpenConvert tools convert to TEI or FOLiA from a number of input formats (alto, text, word, HTML, ePub). The tools are available as a Java command line tool, a web service and a web application.The OpenConvert Tools were created by IVDNT in the OpenConvert project. The OpenConvert tools convert to TEI or FOLiA from a number of input formats (alto, text, word, HTML, ePub). The tools are available as a Java command line tool, a web service and a web application. Furthermore, as a proof of concept, the website currently provides two annotation tools: a simple Tokenizer for TEI files and a modern Dutch part of speech tagger.
    The tool service can be called as a REST webservice which returns responses in XML, allowing it to be part of a webservice tool chain.
    Input TEI, plain text, HTML
    ALTO XML input
    ePub input
    directory containing files of a valid input type
    zip file (with extension .zip) containing files of a valid input type
    Free for academic use. Non-applicable for commercial parties
    CLARIN based login required. The Clarin federation accepts login from many europian institutions. please seehttp://www.clarin.eu/content/service-provider-federation for more details
    input file name (File upload)
    Format of input file
    Format of output file
    to specify the tagger or tokeniser
    input file mimetype is application/tei+xml
    input file mimetype is text/html
    input file mimetype is text/alto+xml
    input file mimetype is application/msword
    input file mimetype is application/epub+zip
    input file mimetype is text/plain
    output file mimetype is application/tei+xml
    output file mimetype is text/folia+xml
    Basic tagger-lemmatizer for modern Dutch
    a TEI tokenizer

  • Fast and easy development of pronunciation lexicons for names

    The AUTONOMATA transcription tool set consists of a transcription tool and learning tools, with which one can enrich word lists with precise information on the pronunciation. Thee uses a general grapheme-to-phoneme converter (the g2p-converter).
    This STEVIN project is about the investigation of new pronunciation modeling technologies that can improve the automatic recognition of spoken names in the context of a POI (Point-of-Interest) information providing business service. Collaboration with RU (Nijmegen), UiL (Utrecht), Nuance and TeleAtlas.
    De AUTONOMATA-transcriptietoolset bestaat uit een transcriptietool en learning tools, waarmee men woordenlijsten kan verrijken met nauwkeurige uitspraakinformatie. De tool maakt gebruik van een algemene grafeem-naar-foneemomzetter (de g2p-omzetter).

  • Dupira; the Dutch Parser for IR Applications

    Dupira is a rule-based parser, generated by means of the AGFL parser generator from the Dupira grammar, lexicon and fact tables. By means of transductions which are specified in the grammar (and can be modified), the parser transduces sentences to dependency graphs. Dupira was developed for practical applications in Information Retrieval and for Information Systems needing a Natural Language interface. Its intended users are computer scientists and computer professionals rather than linguists.