Text2Text Generation
Transformers
PyTorch
TensorFlow
Arabic
t5
Arabic T5
MSA
Twitter
Arabic Dialect
Arabic Machine Translation
Arabic Text Summarization
Arabic News Title and Question Generation
Arabic Paraphrasing and Transliteration
Arabic Code-Switched Translation
Inference Endpoints
text-generation-inference
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# AraT5-base-title-generation
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# AraT5: Text-to-Text Transformers for Arabic Language Generation
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<img src="https://huggingface.co/UBC-NLP/AraT5-base/resolve/main/AraT5_CR_new.png" alt="AraT5" width="45%" height="35%" align="right"/>
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This is the repository accompanying our paper [AraT5: Text-to-Text Transformers for Arabic Language Understanding and Generation](https://arxiv.org/abs/2109.12068). In this is the repository we
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* Introduce **AraT5<sub>MSA</sub>**, **AraT5<sub>Tweet</sub>**, and **AraT5**: three powerful Arabic-specific text-to-text Transformer based models;
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* Introduce **ARGEN**: A new benchmark for Arabic language generation and evaluation for four Arabic NLP tasks, namely, ```machine translation```, ```summarization```, ```news title generation```, ```question generation```, , ```paraphrasing```, ```transliteration```, and ```code-switched translation```.
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* Evaluate ```AraT5``` models on ```ARGEN``` and compare against available language models.
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# AraT5-base-title-generation
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# AraT5: Text-to-Text Transformers for Arabic Language Generation
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<img src="https://huggingface.co/UBC-NLP/AraT5-base/resolve/main/AraT5_CR_new.png" alt="AraT5" width="45%" height="35%" align="right"/>
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This is the repository accompanying our paper [AraT5: Text-to-Text Transformers for Arabic Language Understanding and Generation](https://arxiv.org/abs/2109.12068). In this is the repository we Introduce **AraT5<sub>MSA</sub>**, **AraT5<sub>Tweet</sub>**, and **AraT5**: three powerful Arabic-specific text-to-text Transformer based models;
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