Bert Base En Tr Cased
A streamlined version customized from bert-base-multilingual-cased, supporting English and Turkish processing while maintaining the original model's accuracy
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Release Time : 3/2/2022
Model Overview
This is a specialized version of a multilingual BERT model, focusing on English and Turkish processing, achieving efficient operation through a streamlined architecture while preserving the original model's representational capabilities.
Model Features
Language-Specific Streamlining
Optimized for English and Turkish, removing unnecessary language parameters from the original multilingual model
Preserved Original Accuracy
Unlike distilbert, it can fully reproduce the original model's representational output
Flexible Expansion
Supports generating streamlined versions for other language combinations
Model Capabilities
Text Filling
Cross-Lingual Understanding
Semantic Representation
Use Cases
Text Processing
Missing Word Prediction
Predicts missing words in sentences marked with [MASK] tokens
As shown in examples, it can accurately predict words like 'dollar', 'France', etc.
Cross-Lingual Applications
Handles mixed English and Turkish texts
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