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Bert Base Arabic Camelbert Msa Did Nadi

Developed by CAMeL-Lab
A dialect identification model fine-tuned based on the CAMeLBERT Modern Standard Arabic model, supporting 21 Arabic dialect identifications.
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Release Time : 3/2/2022

Model Overview

This model is a Dialect Identification (DID) model, constructed by fine-tuning the CAMeLBERT Modern Standard Arabic (MSA) model, specifically designed to identify different dialect variants of Arabic.

Model Features

Multi-dialect Support
Capable of identifying 21 different Arabic dialect variants.
Fine-tuned on CAMeLBERT
Fine-tuned on the robust CAMeLBERT-MSA base model, possessing excellent language understanding capabilities.
Trained on NADI Dataset
Trained using the NADI country-level dialect dataset, covering a wide range of dialect samples.

Model Capabilities

Arabic Dialect Identification
Text Classification

Use Cases

Linguistic Research
Arabic Dialect Analysis
Identify the Arabic dialect variants used in text
Can accurately identify 21 different dialects
Social Media Analysis
User Geolocation Analysis
Identify potential geographic origins of users through their posts
Such as identifying dialect features from regions like Egypt or Saudi Arabia
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