readme: ---
  language:
  - bg
  - de
  - hr
  - mk
  - sh
  - sl
  - sr
  language_bcp47:
  - sr_Cyrl
  - sr_Latn
  
  tags:
  - translation
  - opus-mt-tc
  
  license: cc-by-4.0
  model-index:
  - name: opus-mt-tc-big-zls-de
    results:
    - task:
        name: Translation bul-deu
        type: translation
        args: bul-deu
      dataset:
        name: flores101-devtest
        type: flores_101
        args: bul deu devtest
      metrics:
         - name: BLEU
           type: bleu
           value: 28.4
         - name: chr-F
           type: chrf
           value: 0.57688
    - task:
        name: Translation hrv-deu
        type: translation
        args: hrv-deu
      dataset:
        name: flores101-devtest
        type: flores_101
        args: hrv deu devtest
      metrics:
         - name: BLEU
           type: bleu
           value: 27.4
         - name: chr-F
           type: chrf
           value: 0.56674
    - task:
        name: Translation mkd-deu
        type: translation
        args: mkd-deu
      dataset:
        name: flores101-devtest
        type: flores_101
        args: mkd deu devtest
      metrics:
         - name: BLEU
           type: bleu
           value: 29.3
         - name: chr-F
           type: chrf
           value: 0.57688
    - task:
        name: Translation slv-deu
        type: translation
        args: slv-deu
      dataset:
        name: flores101-devtest
        type: flores_101
        args: slv deu devtest
      metrics:
         - name: BLEU
           type: bleu
           value: 26.7
         - name: chr-F
           type: chrf
           value: 0.56258
    - task:
        name: Translation srp_Cyrl-deu
        type: translation
        args: srp_Cyrl-deu
      dataset:
        name: flores101-devtest
        type: flores_101
        args: srp_Cyrl deu devtest
      metrics:
         - name: BLEU
           type: bleu
           value: 30.7
         - name: chr-F
           type: chrf
           value: 0.59271
    - task:
        name: Translation bul-deu
        type: translation
        args: bul-deu
      dataset:
        name: tatoeba-test-v2021-08-07
        type: tatoeba_mt
        args: bul-deu
      metrics:
         - name: BLEU
           type: bleu
           value: 54.5
         - name: chr-F
           type: chrf
           value: 0.71220
    - task:
        name: Translation hbs-deu
        type: translation
        args: hbs-deu
      dataset:
        name: tatoeba-test-v2021-08-07
        type: tatoeba_mt
        args: hbs-deu
      metrics:
         - name: BLEU
           type: bleu
           value: 54.8
         - name: chr-F
           type: chrf
           value: 0.71283
    - task:
        name: Translation hrv-deu
        type: translation
        args: hrv-deu
      dataset:
        name: tatoeba-test-v2021-08-07
        type: tatoeba_mt
        args: hrv-deu
      metrics:
         - name: BLEU
           type: bleu
           value: 53.1
         - name: chr-F
           type: chrf
           value: 0.69448
    - task:
        name: Translation slv-deu
        type: translation
        args: slv-deu
      dataset:
        name: tatoeba-test-v2021-08-07
        type: tatoeba_mt
        args: slv-deu
      metrics:
         - name: BLEU
           type: bleu
           value: 21.1
         - name: chr-F
           type: chrf
           value: 0.36339
    - task:
        name: Translation srp_Latn-deu
        type: translation
        args: srp_Latn-deu
      dataset:
        name: tatoeba-test-v2021-08-07
        type: tatoeba_mt
        args: srp_Latn-deu
      metrics:
         - name: BLEU
           type: bleu
           value: 56.0
         - name: chr-F
           type: chrf
           value: 0.72489
  ---
  # opus-mt-tc-big-zls-de
  
  ## 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 South Slavic languages (zls) to German (de).
  
  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**: 2022-07-26
  - **License:** CC-BY-4.0
  - **Language(s):**  
    - Source Language(s): bos_Latn bul hbs hrv mkd slv srp_Cyrl srp_Latn
    - Target Language(s): deu
    - Language Pair(s): bul-deu hbs-deu hrv-deu mkd-deu slv-deu srp_Cyrl-deu srp_Latn-deu
    - Valid Target Language Labels: 
  - **Original Model**: 