Bert Base Multilingual Cased Language Detection
A multilingual detection model fine-tuned based on the bert-base-multilingual-cased pre-trained model, supporting text detection in 45 languages
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Release Time : 3/2/2022
Model Overview
This model is used to detect the language type of text, supporting recognition of 45 languages with an accuracy rate of 97.8%.
Model Features
Multilingual Support
Supports text detection in 45 languages, covering a wide range of language types
High Accuracy
Achieves 97.8% accuracy on the common language test set
BERT-based Architecture
Leverages BERT's powerful pre-training capabilities for fine-tuning, offering excellent text understanding
Model Capabilities
Text Language Detection
Multilingual Recognition
Use Cases
Content Classification
Multilingual Content Classification
Automatically classify content in multilingual websites or applications by language
Accurately identifies text language types
Data Preprocessing
Multilingual Data Preprocessing
Automatically identifies language types in multilingual text processing workflows
Provides language tags for subsequent processing
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