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subject-insertion-model
Romi121/subject-insertion-model
subject-insertion-model is a token classification model from Romi121. Use it when you need labels on individual words, such as names. The card lists the license as cc-by-sa-3.0.
BERT based Token Classification model based on tohoku-nlp/bert-base-japanse and trained to predict in a Japanese sentence without an explicit subject where the subject would be.
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At a glance
- Task
- Token Classification
- License
- cc-by-sa-3.0
- Model type
- bert
- Access
- Public
- Created
- Feb 16, 2026
- Updated
- Feb 16, 2026
- SHA
- 3db7947e
Base models
Model card
From the Hugging Face model README
Japanese Subject Insertion Model
<!-- Provide a quick summary of what the model is/does. -->BERT based Token Classification model based on tohoku-nlp/bert-base-japanse and trained to predict in a Japanese sentence without an explicit subject where the subject would be.
Model Uses
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]
Training Details
Training Data
Model was trained using dataset https://github.com/UniversalDependencies/UD_Japanese-GSDLUW
The dataset was reduced only to sentences with a subject, and the subject was removed from the sentence saving the position to train the model to predict where the subject should go.
- Task
- Token Classification
- Type
- bert
- License
- cc-by-sa-3.0
- Languages
- ja
- Created
- Feb 16, 2026
- Updated
- Feb 16, 2026