Masrawy-BiLingual-v1

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Masrawy-BiLingual-v1

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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Evaluation Dataset

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:

• 150 general conversational sentences covering everyday topics.
• 50 business and professional sentences including emails, reports, and announcements.
• 50 science and educational sentences covering basic scientific concepts and educational content.
• 50 entertainment and media sentences including movie, TV, and music contexts.
• 20 multi-sentence examples for each category (assorted topics) to test contextual translation quality.

This resulted in thousands of sentences across various domains to comprehensively assess the model's performance in realistic scenarios.

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Evaluation Results

The model was evaluated on the above test sets for both translation directions. The results are as follows:

These metrics indicate strong performance in both directions for Egyptian↔MSA translation.

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Usage

When using the model, it is important to append a postfix to the input text to indicate the desired translation direction:

• To translate to Egyptian Arabic, append <arz> to the input.
• To translate to MSA, append <ar> to the input.

Example in Python (using Hugging Face translation pipeline)

from transformers import pipeline

model_name = "oddadmix/Masrawy-BiLingual-v1"
translator = pipeline("translation", model=model_name, tokenizer=model_name)

# Example: Translate MSA → Egyptian
input_text = "أنا أحب القراءة في المكتبة. <arz>"
translation = translator(input_text)[0]['translation_text']
print("MSA → Egyptian:", translation)

# Example: Translate Egyptian → MSA
input_text = "أنا بحب أقرا في المكتبة. <ar>"
translation = translator(input_text)[0]['translation_text']
print("Egyptian → MSA:", translation)