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Zabanshenas Roberta Base Mix

Developed by m3hrdadfi
Zabanshenas is a Transformer-based solution for identifying the most probable language of written documents/text.
Downloads 23
Release Time : 3/2/2022

Model Overview

Zabanshenas is a Persian word with two meanings: someone who studies linguistics and a method for identifying the type of written language. This model supports detection for over 200 languages.

Model Features

Multilingual Support
Supports detection for over 200 languages, including many niche and low-resource languages.
High Accuracy
Achieves F1 scores above 90% for most languages.
Transformer-based
Utilizes advanced Transformer architecture to provide robust language identification capabilities.

Model Capabilities

Text Language Detection
Multilingual Recognition
Low-resource Language Support

Use Cases

Content Management
Multilingual Content Classification
Automatically identifies the language of user-generated content for classification and routing.
Accurately recognizes 200+ languages.
Localization Services
Automatic Language Detection
Provides language detection for input text in translation services.
High accuracy supports translation service workflows.
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