1,500 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

    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

    Timo de Rijk: 'We plant the seed'; interview

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    Art historian Timo de Rijk was appointed Professor of Design, Culture and Society in Delft and Leiden last September. He calls this combination ‘a real breakthrough’. ‘Leiden University studies the workings of culture, while TU Delft aims at creating new things. These are fundamentally different approaches. I am the bridge between the two.’Industrial Design Engineerin

    StochPy version 2.4 refresh release

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    StochPy release 2.4 We are pleased to announce the first GitHub release of StochPy, now updated to be Python 3.7+ compatible. StochPy is a versatile stochastic modelling package which is designed for stochastic simulation of molecular control networks. Many thanks to the community contributions made by @zesloth, @enricozb and @developerfab. Author information Timo R. Maarleveld, Brett G. Olivier, and Frank J. Bruggeman Centrum Wiskunde en Informatica, Amsterdam, Netherlands Vrije Universiteit University, Amsterdam, Netherlands Major code contributors to the StochPy codebase Brett G. Olivier (@bgoli) Catharina Meyer If you use StochPy please cite this publication: StochPy: A Comprehensive, User-Friendly Tool for Simulating Stochastic Biological Processes http://dx.doi.org/10.1371/journal.pone.0079345 Licence Copyright (c) 2011-2021, Timo R. Maarleveld, Brett G. Olivier, and Frank J. Bruggeman Vrije Universiteit Amsterdam. All rights reserved. StochPy is open source software distributed under the BSD 3-Clause License see LICENSE file for more details

    Education Design: Media, Learning, Space

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    Education Design geht davon aus, dass physischer and virtueller Raum für den Lern- und Bildungsprozess gleich wichtig sind und legt den Fokus auf flexible Umgebungen und Mehrzwecklösungen für formelles und informelles Lernen. Mit den Veränderungen der digitalen Infrastrukturen erwartet man ebensolch grundsätzliche Veränderungen der Lehr- und Lernkultur. Um auf diese Umformungsprozesse zu reagieren, geht es darum, raum- und zeitabhängige und dennoch flexible Konzepte für Räume des Lernens zu entwerfen und Muster unterschiedlicher Arten des Lernens zu identifizieren und entwickeln. Wo Technik an Bedeutung gewinnt, scheint Architektur häufig in den Hintergrund zu rücken. Für die Prozesse des informellen und formellen Lernens und die sich ständig verändernden Anforderungen scheint es aber dementgegen besonders notwendig, dass den Datatekturen und Architekturen größtmögliche Flexibiltät zugestanden wird. Räume des Lernens, die diesem Anspruch folgen, sollten - wie Medien - als gleichberechtigte Akteure in einem als Akteurinnen- und Akteuren-Netzwerk-Geschehen gedachtem Bildungsprozess verstanden werden. 13.01.2012 | Torsten Meyer, Timo Meisel & Konstanze Schuetze (Köln

    Strukturelle Charakterisierung der MET-Dimerisierung und -Interaktion mit künstlichen Bindeproteinen sowie der (S)-enantioselektiven Imin-Reduktase S-IRED-Ms aus Mycobacterium smegmatis

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    Meyer T. Strukturelle Charakterisierung der MET-Dimerisierung und -Interaktion mit künstlichen Bindeproteinen sowie der (S)-enantioselektiven Imin-Reduktase S-IRED-Ms aus Mycobacterium smegmatis. Bielefeld: Universität Bielefeld; 2022
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