Fill-Mask
Transformers
PyTorch
bert
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@@ -11,9 +11,9 @@ This is a BERT-base model trained with romanized Manchu data from scratch.
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  # data
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- manchuBERT utilizes the augmented data following the augmentation method from [Mergen: The First Manchu-Korean Machine Translation Model Trained on Augmented Data](https://arxiv.org/pdf/2311.17492.pdf).
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- | **Data ** | **Number of Sentences** |
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  |:---------------------------:|:-----------------------:|
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  | Manwén Lˇaodàng–Taizong | 2,220 |
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  | Ilan gurun i bithe | 41,904 |
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- ## Citation [optional]
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- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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- **BibTeX:**
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- [More Information Needed]
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- **APA:**
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- ## More Information [optional]
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- ## Model Card Authors [optional]
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- ## Model Card Contact
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  # data
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+ manchuBERT utilizes the data augmentation method from [Mergen: The First Manchu-Korean Machine Translation Model Trained on Augmented Data](https://arxiv.org/pdf/2311.17492.pdf).
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+ | **Data** | **Number of Sentences(before augmentation)** |
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  |:---------------------------:|:-----------------------:|
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  | Manwén Lˇaodàng–Taizong | 2,220 |
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  | Ilan gurun i bithe | 41,904 |
 
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