| --- |
| license: cc-by-sa-3.0 |
| language: |
| - ja |
| base_model: |
| - tohoku-nlp/bert-base-japanese |
| pipeline_tag: text-classification |
| tags: |
| - bert |
| --- |
| # Japanese Particle Prediction Model |
| BERT based Token Classification model based on tohoku-nlp/bert-base-japanse and trained to predict a Japanese sentence with subject MASKed which particle (は,が,も) would most likely follow the MASK. |
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| ## Model Use |
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| This model was trained as part of a bigger project to predict implicit subjects in Japanese text. |
| You can find whole project here [https://github.com/Romi212/Japanese-Subject-Predictor-System] |
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| ## Training Details |
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| ### Training Data |
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| Model was trained using dataset https://github.com/UniversalDependencies/UD_Japanese-GSDLUW |
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| The dataset was reduced only to sentences with a subject, and the subject subclause was replaced by [MASK] saving the particle asociated as the label to predict. |
