1,540 research outputs found

    The Spoken Wikipedia Corpora

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    The Spoken Wikipedia project unites volunteer readers of Wikipedia articles. Hundreds of spoken articles in multiple languages are available to users who are – for one reason or another – unable or unwilling to consume the written version of the article. Our resource, the Spoken Wikipedia Corpus, consolidates the Spoken Wikipediae, adding text segmentation, normalization, time-alignment and further annotations, making it accessible for research and fostering new ways of interacting with the material. Timo Baumann and Arne Köhn and Felix Hennig. 2018. The Spoken Wikipedia Corpus Collection: Harvesting, Alignment and an Application to Hyperlistening, in Language Resources and Evaluation, Special Issue representing significant contributions of LREC 2016. Arne Köhn, Florian Stegen, Timo Baumann. 2016. Mining the Spoken Wikipedia for Speech Data and Beyond, in Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). CLARIN Metadata summary for The Spoken Wikipedia Corpora (CMDI-based) Title: The Spoken Wikipedia Corpora Description: The Spoken Wikipedia project unites volunteer readers of Wikipedia articles. Hundreds of spoken articles in multiple languages are available to users who are – for one reason or another – unable or unwilling to consume the written version of the article. Our resource, the Spoken Wikipedia Corpus, consolidates the Spoken Wikipediae, adding text segmentation, normalization, time-alignment and further annotations, making it accessible for research and fostering new ways of interacting with the material. Publication date: 2017 Data owner: Timo Baumann - Universität Hamburg Contributors: Timo Baumann (author), Arne Köhn (author), Florian Stegen (author) Languages: English (eng), German (deu), Dutch (nld) Size: 5397 article, 1005 hour Segmentation units: other Genre: encyclopedia Modality: spoken References: Timo Baumann; Arne Köhn; Felix Hennig (2018) The Spoken Wikipedia Corpus Collection: Harvesting, Alignment and an Application to Hyperlistening References: Arne Köhn; Florian Stegen; Timo Baumann (2016) Mining the Spoken Wikipedia for Speech Data and Beyon

    Elektronische Literatur

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    Mit Beitr. von Thomas Anz ; Claude D. Conter ; Oliver Jahraus ; Timo Kozlowski Harald Taglinger ..

    Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE

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    This dataset contains all testcase setup files and result files for the measurements presented in the Master's thesis with the title "Efficient Application of Accelerator Cards for the Coupling Library preCICE" (Author: Timo Pierre Schrader). Furthermore, it contains the version of preCICE used throughout this thesis. The thesis revolves around GPU acceleration of RBF data mapping in preCICE. See the README for more information how to build and run the testcase

    The dynamics of conflict in the multiethnic union of Myanmar : PCIA - country conflict-analysis study

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    Timo Kivimäki & Paul PaschElectronic ed.: Berlin ; Bonn : FES, 201

    Prognozirovanie v Entral'noj Azii 2021 : rezul'taty ėkspertnogo oprosa

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    Ojuna Baldakova, Sebastian Šiek, Timo Rinke, Alexander Vol'tersText russischKyrillisc

    Central Asia forecasting 2021 : results from an expert survey

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    Oyuna Baldakova, Sebastian Schiek, Timo Rinke, Alexander Wolter

    Sonderbriefmarke "100 Jahre Friedrich-Loeffler-Institut"

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    Copyright-Vermerk: Motive: Porträt Friedrich Loeffler, Virus, Mikroskop Foto "Schweinegrippe-Virus" © Axel Kock/ddp images Foto "Influenza-Virus" © Corbis/F1 online Foto "Petrischalen" © Topaz/F1 online Foto "Mikroskop" © Dr. Timo Mappes, Karlsruhe Porträt Friedrich Loeffler © Fotoarchiv Friedrich-Loeffler-Institut Grafische Gestaltung: Kym Erdmann, Kie
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