readme: ---
  language:
  - ar
  - ca
  - es
  - fr
  - gl
  - it
  - pt
  - ro
  
  tags:
  - translation
  - opus-mt-tc
  
  license: cc-by-4.0
  model-index:
  - name: opus-mt-tc-big-itc-ar
    results:
    - task:
        name: Translation cat-ara
        type: translation
        args: cat-ara
      dataset:
        name: flores101-devtest
        type: flores_101
        args: cat ara devtest
      metrics:
         - name: BLEU
           type: bleu
           value: 18.9
         - name: chr-F
           type: chrf
           value: 0.52029
    - task:
        name: Translation fra-ara
        type: translation
        args: fra-ara
      dataset:
        name: flores101-devtest
        type: flores_101
        args: fra ara devtest
      metrics:
         - name: BLEU
           type: bleu
           value: 19.5
         - name: chr-F
           type: chrf
           value: 0.52573
    - task:
        name: Translation glg-ara
        type: translation
        args: glg-ara
      dataset:
        name: flores101-devtest
        type: flores_101
        args: glg ara devtest
      metrics:
         - name: BLEU
           type: bleu
           value: 19.2
         - name: chr-F
           type: chrf
           value: 0.51181
    - task:
        name: Translation ita-ara
        type: translation
        args: ita-ara
      dataset:
        name: flores101-devtest
        type: flores_101
        args: ita ara devtest
      metrics:
         - name: BLEU
           type: bleu
           value: 15.0
         - name: chr-F
           type: chrf
           value: 0.49401
    - task:
        name: Translation por-ara
        type: translation
        args: por-ara
      dataset:
        name: flores101-devtest
        type: flores_101
        args: por ara devtest
      metrics:
         - name: BLEU
           type: bleu
           value: 20.2
         - name: chr-F
           type: chrf
           value: 0.53356
    - task:
        name: Translation ron-ara
        type: translation
        args: ron-ara
      dataset:
        name: flores101-devtest
        type: flores_101
        args: ron ara devtest
      metrics:
         - name: BLEU
           type: bleu
           value: 18.4
         - name: chr-F
           type: chrf
           value: 0.51849
    - task:
        name: Translation spa-ara
        type: translation
        args: spa-ara
      dataset:
        name: flores101-devtest
        type: flores_101
        args: spa ara devtest
      metrics:
         - name: BLEU
           type: bleu
           value: 14.3
         - name: chr-F
           type: chrf
           value: 0.47872
    - task:
        name: Translation ita-ara
        type: translation
        args: ita-ara
      dataset:
        name: tatoeba-test-v2021-08-07
        type: tatoeba_mt
        args: ita-ara
      metrics:
         - name: BLEU
           type: bleu
           value: 25.7
         - name: chr-F
           type: chrf
           value: 0.53797
    - task:
        name: Translation spa-ara
        type: translation
        args: spa-ara
      dataset:
        name: tatoeba-test-v2021-08-07
        type: tatoeba_mt
        args: spa-ara
      metrics:
         - name: BLEU
           type: bleu
           value: 26.6
         - name: chr-F
           type: chrf
           value: 0.55520
  ---
  # opus-mt-tc-big-itc-ar
  
  ## 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 Italic languages (itc) to Arabic (ar).
  
  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**: 2022-08-09
  - **License:** CC-BY-4.0
  - **Language(s):**  
    - Source Language(s): cat fra glg ita lat_Latn por ron spa
    - Target Language(s): ara
    - Language Pair(s): cat-ara fra-ara glg-ara ita-ara por-ara ron-ara spa-ara
    - Valid Target Language Labels: >>ajp<< >>apc<< >>ara<< >>arq<< >>ary<< >>arz<<
  - **Original Model**: [opusTCv20210807_transformer-big_2022-08-09.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-ara/opusTCv20210807_transformer-big_2022-08-09.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 itc-ara READ