Bert Large Mongolian Cased
This is a pre-trained Mongolian BERT model, trained on Mongolian Wikipedia and news datasets, supporting Mongolian text processing tasks.
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Release Time : 3/2/2022
Model Overview
This model is a Mongolian pre-trained model based on the BERT architecture, primarily used for masked language modeling tasks in Mongolian.
Model Features
Mongolian-specific
A pre-trained model specifically optimized for Mongolian text.
Case-sensitive
The model can recognize and handle case differences in Mongolian.
Large-scale training data
Trained on Mongolian Wikipedia and a news dataset with 700 million words.
Model Capabilities
Mongolian text understanding
Masked language modeling
Contextual semantic analysis
Use Cases
Text completion
Sentence completion
Automatically completes missing parts in Mongolian sentences.
As shown in examples, it can accurately predict words like 'нийслэл' (capital).
Language understanding
Semantic analysis
Understands the contextual meaning of Mongolian text.
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