alisafaya/Arabic-BERT
Arabic edition of BERT pretrained language models
This project provides pre-trained language models specifically designed for understanding Arabic text. It takes raw Arabic text as input and produces a deep understanding of its meaning, including nuances from various dialects. Data scientists and NLP engineers working on Arabic-language applications would use this for tasks like sentiment analysis, text classification, or identifying named entities.
133 stars. No commits in the last 6 months.
Use this if you are building an application that needs to process and understand Arabic text with high accuracy, especially if your data includes different dialects.
Not ideal if your primary focus is on languages other than Arabic, as these models are specifically trained for Arabic text.
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133
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20
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MIT
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Last pushed
Dec 05, 2020
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