readme: ---
  language:
  - da
  - de
  - is
  - nb
  - sv
  
  tags:
  - translation
  - opus-mt-tc
  
  license: cc-by-4.0
  model-index:
  - name: opus-mt-tc-big-de-gmq
    results:
    - task:
        name: Translation deu-dan
        type: translation
        args: deu-dan
      dataset:
        name: flores101-devtest
        type: flores_101
        args: deu dan devtest
      metrics:
         - name: BLEU
           type: bleu
           value: 35.6
         - name: chr-F
           type: chrf
           value: 0.62363
    - task:
        name: Translation deu-isl
        type: translation
        args: deu-isl
      dataset:
        name: flores101-devtest
        type: flores_101
        args: deu isl devtest
      metrics:
         - name: BLEU
           type: bleu
           value: 20.6
         - name: chr-F
           type: chrf
           value: 0.48691
    - task:
        name: Translation deu-nob
        type: translation
        args: deu-nob
      dataset:
        name: flores101-devtest
        type: flores_101
        args: deu nob devtest
      metrics:
         - name: BLEU
           type: bleu
           value: 25.3
         - name: chr-F
           type: chrf
           value: 0.55765
    - task:
        name: Translation deu-swe
        type: translation
        args: deu-swe
      dataset:
        name: flores101-devtest
        type: flores_101
        args: deu swe devtest
      metrics:
         - name: BLEU
           type: bleu
           value: 34.7
         - name: chr-F
           type: chrf
           value: 0.62323
    - task:
        name: Translation deu-dan
        type: translation
        args: deu-dan
      dataset:
        name: tatoeba-test-v2021-08-07
        type: tatoeba_mt
        args: deu-dan
      metrics:
         - name: BLEU
           type: bleu
           value: 58.7
         - name: chr-F
           type: chrf
           value: 0.74306
    - task:
        name: Translation deu-isl
        type: translation
        args: deu-isl
      dataset:
        name: tatoeba-test-v2021-08-07
        type: tatoeba_mt
        args: deu-isl
      metrics:
         - name: BLEU
           type: bleu
           value: 47.1
         - name: chr-F
           type: chrf
           value: 0.65180
    - task:
        name: Translation deu-nob
        type: translation
        args: deu-nob
      dataset:
        name: tatoeba-test-v2021-08-07
        type: tatoeba_mt
        args: deu-nob
      metrics:
         - name: BLEU
           type: bleu
           value: 52.5
         - name: chr-F
           type: chrf
           value: 0.71062
    - task:
        name: Translation deu-swe
        type: translation
        args: deu-swe
      dataset:
        name: tatoeba-test-v2021-08-07
        type: tatoeba_mt
        args: deu-swe
      metrics:
         - name: BLEU
           type: bleu
           value: 58.3
         - name: chr-F
           type: chrf
           value: 0.72658
  ---
  # opus-mt-tc-big-de-gmq
  
  ## Table of Contents
  - [Model Details](#model-details)
  - [Uses](#uses)
  - [Risks, Limitations and Biases](#risks-limitations-and-biases)
  - [How to Get Started With the Model](#how-to-get-started-with-the-model)
  - [Training](#training)
  - [Evaluation](#evaluation)
  - [Citation Information](#citation-information)
  - [Acknowledgements](#acknowledgements)
  
  ## Model Details
  
  Neural machine translation model for translating from German (de) to North Germanic languages (gmq).
  
  This model is part of the [OPUS-MT project](https://github.com/Helsinki-NLP/Opus-MT), an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of [Marian NMT](https://marian-nmt.github.io/), an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from [OPUS](https://opus.nlpl.eu/) and training pipelines use the procedures of [OPUS-MT-train](https://github.com/Helsinki-NLP/Opus-MT-train).
  **Model Description:**
  - **Developed by:** Language Technology Research Group at the University of Helsinki
  - **Model Type:** Translation (transformer-big)
  - **Release**: 2022-07-25
  - **License:** CC-BY-4.0
  - **Language(s):**  
    - Source Language(s): deu
    - Target Language(s): dan isl nno nob nor swe
    - Language Pair(s): deu-dan deu-isl deu-nob deu-swe
    - Valid Target Language Labels: >>dan<< >>fao<< >>isl<< >>jut<< >>nno<< >>nob<< >>non<< >>nrn<< >>ovd<< >>qer<< >>rmg<< >>swe<<
  - **Original Model**: [opusTCv20210807_transformer-big_2022-07-25.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-gmq/opusTCv20210807_transformer-big_2022-07-25.zip)
  - **Resources for more information:**
    - [OPUS-MT-train GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
    - More information about released models for this language pair: [OPUS-MT deu-gmq README](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-gmq/README.md)
    - [More information about MarianNMT models in the transformers library](https://huggingface.co/docs/transformers/model_doc/marian)
    - [Tatoeba Translation Challenge](https://github.com/Helsinki-NLP/Tatoeba-Challenge/
  
  This