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76 research outcomes, page 2 of 8
  • software . 2021 . Embargo End Date: 27 Jul 2021
    Open Access
    Authors:
    Popel, Martin; Tomková, Markéta; Tomek, Jakub; Kaiser, Łukasz; Uszkoreit, Jakob; Bojar, Ondřej; Žabokrtský, Zdeněk;
    Persistent Identifiers
    Publisher: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
    Project: EC | QT21 (645452)

    CUBBITT En-Fr translation models, exported via TensorFlow Serving, available in the Lindat translation service (https://lindat.mff.cuni.cz/services/translation/). Models are compatible with Tensor2tensor version 1.6.6. For details about the model training (data, model h...

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  • software . 2021 . Embargo End Date: 27 Jul 2021
    Open Access
    Authors:
    Popel, Martin; Tomková, Markéta; Tomek, Jakub; Kaiser, Łukasz; Uszkoreit, Jakob; Bojar, Ondřej; Žabokrtský, Zdeněk;
    Persistent Identifiers
    Publisher: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
    Project: EC | QT21 (645452)

    CUBBITT En-Cs translation models, exported via TensorFlow Serving, available in the Lindat translation service (https://lindat.mff.cuni.cz/services/translation/). Models are compatible with Tensor2tensor version 1.6.6. For details about the model training (data, model h...

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  • software . 2021 . Embargo End Date: 27 Jul 2021
    Open Access
    Authors:
    Variš, Dušan;
    Persistent Identifiers
    Publisher: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
    Project: EC | SSHOC (823782)

    En-Ru translation models, exported via TensorFlow Serving, available in the Lindat translation service (https://lindat.mff.cuni.cz/services/translation/). Models are compatible with Tensor2tensor version 1.6.6. For details about the model training (data, model hyper-par...

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  • software . 2021
    Open Access English
    Authors:
    Hey, Tobias; Chen, Fei; Weigelt, Sebastian; Tichy, Walter F.;
    Publisher: Zenodo

    This is the supplementary material of the paper "<em>Improving Traceability Link Recovery Using Fine-grained Requirements-to-Code Relations</em>". In this paper, we explore the performance of word embedding-based fine-grained requirements-to-code relations in automated ...

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  • software . 2021
    Open Access
    Authors:
    Snitker, Grant;
    Persistent Identifiers
    Publisher: Zenodo

    CharTool is a macro tool for quantifying charcoal particles for archaeological and paleoecological research applications. Version 3.2 (2021) For more information, see: Snitker, G., 2020. The Charcoal Quantification Tool (CharTool): A Suite of Open-source Tools for Quant...

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  • software . 2021
    Open Access
    Authors:
    Snitker, Grant;
    Persistent Identifiers
    Publisher: Zenodo

    CharTool is a macro tool for quantifying charcoal particles for archaeological and paleoecological research applications. Version 3.2 (2021) For more information, see: Snitker, G., 2020. The Charcoal Quantification Tool (CharTool): A Suite of Open-source Tools for Quant...

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  • software . 2021
    Open Access
    Authors:
    Harmsen, Wouter; de Groot, Janke; Harkema, Albert; van Dusseldorp, Ingeborg; De Bruin, Jonathan; Van den Brand, Sofie; Van de Schoot, Rens;
    Publisher: Zenodo

    This repository contains scripts to run simulations for 14 datasets openly published on the Dutch database for medical guidelines belonging to the paper Artificial intelligence supports literature screening in medical guideline development: towards up-to-date medical gu...

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  • software . 2021
    Open Access German
    Authors:
    Schumacher, Mareike K.;
    Publisher: Zenodo

    In diesem Repository finden Sie einen Raum-Classifier, der mit dem StanfordNER kompatibel ist, sowie dazugehörige Trainingsdaten. Die Datei "Raum320000_18-21_ner-model" ist ein Raum-Classifier mit sieben Unterkategorien, die mit dem StanfordNER kompatibel sind. Die Date...

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  • software . 2021
    Open Access
    Authors:
    Rosmorduc, Serge;
    Publisher: Zenodo

    {"references": ["Rosmorduc S. \u00ab\u00a0Automated Transliteration of Late Egyptian Using Neural Networks: An Experiment in \"Deep Learning\"\u00a0\u00bb. LingAeg [En ligne]. novembre 2020. Vol. 28, p.\u00a0233\u2011257"]}

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  • software . 2021
    Open Access English
    Authors:
    Mahmud, Junayed; Faisal, Fahim; Islam Arnob, Raihan; Anastasopoulos, Antonios; Moran, Kevin;
    Publisher: Zenodo

    This Zenodo repository contains the code, data, and replication package for our paper entitled "Code to Comment Translation: An Empirical Study on Model Effectiveness and Errors".

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76 research outcomes, page 2 of 8