Conference paper Open Access

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

Schneider, Felix; Waibel, Alex


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3525496", 
  "language": "eng", 
  "title": "KIT's Submission to the IWSLT 2019 Shared Task on Text Translation", 
  "issued": {
    "date-parts": [
      [
        2019, 
        11, 
        2
      ]
    ]
  }, 
  "abstract": "<p>In this paper, we describe KIT&rsquo;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&nbsp;transformer-big&nbsp;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.</p>", 
  "author": [
    {
      "family": "Schneider, Felix"
    }, 
    {
      "family": "Waibel, Alex"
    }
  ], 
  "type": "paper-conference", 
  "id": "3525496"
}
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