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Codeswitch Hineng Lid Lince
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Codeswitch Hineng Lid Lince
Developed by sagorsarker
This is a pre-trained model specifically designed for language identification in Hindi-English code-mixed data.
Downloads 85
Release Time : 3/2/2022
Model Overview
The model is trained on the LinCE dataset and can identify language components in Hindi and English mixed texts.
Model Features
Hindi-English Code-Mixed Identification
Specifically designed to identify language components in Hindi and English mixed texts.
Based on LinCE Dataset
Trained using a standardized code-mixed dataset.
Easy to Use
Provides two calling methods, including direct use of pipeline or dedicated library.
Model Capabilities
Language Identification
Code-Mixed Analysis
Hindi-English Mixed Text Processing
Use Cases
Natural Language Processing
Social Media Text Analysis
Analyzing Hindi-English mixed social media content
Accurately identifies language components in the text.
Multilingual Application Development
Providing language identification functionality for applications supporting Hindi-English mixed input
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