Conference paper Open Access

KIT's Submission to the IWSLT 2019 Shared Task on Text Translation

Schneider, Felix; Waibel, Alex


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  <dc:creator>Schneider, Felix</dc:creator>
  <dc:creator>Waibel, Alex</dc:creator>
  <dc:date>2019-11-02</dc:date>
  <dc:description>In this paper, we describe KIT’s submission for the IWSLT 2019 shared task on text translation. Our system is based on the transformer model [1] using our in-house implementation. We augment the available training data using back-translation and employ fine-tuning for the final model. For our best results, we used a 12-layer transformer-big config- uration, achieving state-of-the-art results on the WMT2018 test set. We also experiment with student-teacher models to improve performance of smaller models.</dc:description>
  <dc:identifier>https://zenodo.org/record/3525496</dc:identifier>
  <dc:identifier>10.5281/zenodo.3525496</dc:identifier>
  <dc:identifier>oai:zenodo.org:3525496</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>doi:10.5281/zenodo.3525495</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/iwslt2019</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>KIT's Submission to the IWSLT 2019 Shared Task on Text Translation</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
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