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<img src="https://github.com/UBC-NLP/turjuman/raw/master/images/turjuman.png" alt="AraT5" width="50%" height="50%" align="right"/> |
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<img src="./images/turjuman.png" alt="AraT5" width="55%" height="55%" align="right"/> |
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Turjuman is a neural machine translation toolkit. It translates from 20 languages into Modern Standard Arabic (MSA). Turjuman is described in this paper: |
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[**TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation**](https://arxiv.org/abs/2206.03933). |
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Turjuman exploits our [AraT5 model](https://github.com/UBC-NLP/araT5). This endows Turjuman with a powerful ability to decode into Arabic. The toolkit offers the possibility of employing a number of diverse decoding methods, making it suited for acquiring paraphrases for the MSA translations as an added value. |
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**Github**: [https://github.com/UBC-NLP/turjuman](https://github.com/UBC-NLP/turjuman) |
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**Demo**: [https://demos.dlnlp.ai/turjuman](https://demos.dlnlp.ai/turjuman) |
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**Paper**: [https://arxiv.org/abs/2206.03933](https://arxiv.org/abs/2206.03933) |
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