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oddadmix
/
Masrawy-BiLingual-v1

Translation
Transformers
TensorBoard
Safetensors
Arabic
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files
xet
 Metrics Community
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+ ---
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+ base_model: UBC-NLP/AraT5v2-base-1024
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bi-msa-egyptian-translator-masrawy
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+ results: []
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+ language:
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+ - ar
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+ metrics:
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+ - bleu
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+ pipeline_tag: translation
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+ library_name: transformers
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # Masrawy-BiLingual-v1
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+
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+ **Masrawy-BiLingual-v1** is a bidirectional Arabic translation model designed to translate between **Modern Standard Arabic (MSA)** and **Egyptian Arabic**. This model was trained on a total of **360,000 sentences**, covering both directions (MSA → Egyptian and Egyptian → MSA).
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+
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+ ---
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+
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+ ## Evaluation Dataset
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+
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+ The model was evaluated using held-out test sets consisting of **diverse, high-quality sentences** in both MSA and Egyptian Arabic. The evaluation datasets included:
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+
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+ * **150 general conversational sentences** covering everyday topics.
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+ * **50 business and professional sentences** including emails, reports, and announcements.
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+ * **50 science and educational sentences** covering basic scientific concepts and educational content.
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+ * **50 entertainment and media sentences** including movie, TV, and music contexts.
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+ * **20 multi-sentence examples for each category** (assorted topics) to test contextual translation quality.
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+
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+ This resulted in **thousands of sentences** across various domains to comprehensively assess the model's performance in realistic scenarios.
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+
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+ ---
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+
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+ ## Evaluation Results
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+
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+ The model was evaluated on the above test sets for both translation directions. The results are as follows:
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+
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+ | Task | BLEU | METEOR | CHRF |
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+ | -------------- | ------ | ------ | ----- |
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+ | MSA → Egyptian | 0.5806 | 0.7690 | 81.02 |
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+ | Egyptian → MSA | 0.5842 | 0.7901 | 79.83 |
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+
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+ These metrics indicate strong performance in both directions for Egyptian↔MSA translation.
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+
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+ ---
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+
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+ ## Usage
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+
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+ When using the model, it is important to **append a postfix** to the input text to indicate the desired translation direction:
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+
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+ * To translate to **Egyptian Arabic**, append `<arz>` to the input.
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+ * To translate to **MSA**, append `<ar>` to the input.
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+
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+ ### Example in Python (using Hugging Face `translation` pipeline)
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+
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+ ```python
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+ from transformers import pipeline
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+
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+ model_name = "oddadmix/Masrawy-BiLingual-v1"
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+ translator = pipeline("translation", model=model_name, tokenizer=model_name)
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+
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+ # Example: Translate MSA → Egyptian
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+ input_text = "أنا أحب القراءة في المكتبة. <arz>"
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+ translation = translator(input_text)[0]['translation_text']
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+ print("MSA → Egyptian:", translation)
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+
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+ # Example: Translate Egyptian → MSA
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+ input_text = "أنا بحب أقرا في المكتبة. <ar>"
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+ translation = translator(input_text)[0]['translation_text']
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+ print("Egyptian → MSA:", translation)
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+ ```
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