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Arabic MARBERT Dialect Identification City

Developed by Ammar-alhaj-ali
This model is constructed by fine-tuning the pre-trained MARBERT model and is specifically used to identify the city dialect corresponding to Arabic text.
Downloads 2,746
Release Time : 8/9/2022

Model Overview

This model is mainly used for Arabic dialect identification and can accurately identify the city dialect corresponding to the text, providing strong support for Arabic-related research and applications.

Model Features

High-precision dialect identification
It can accurately identify the dialects of 26 cities corresponding to Arabic text.
Fine-tuning based on MARBERT
Fine-tuning is carried out using the powerful pre-trained MARBERT model to improve the performance of dialect identification.
Support for batch processing
It can efficiently process a large amount of text input, which is suitable for large-scale application scenarios.

Model Capabilities

Arabic dialect identification
City-level dialect classification
Text classification

Use Cases

Linguistic research
Analysis of Arabic dialects
It is used to study the distribution and characteristics of Arabic dialects in different cities.
Geographical identification application
Analysis of the geographical origin of social media users
Identify the possible source city of users through the Arabic content they post.
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