This model is a fine-tuned version of tohoku-nlp/bert-large-japanese-v2 designed to perform multi-class classification of Japanese grammar points.
It was trained on labeled data sourced from the 日本語文型辞典 (grammar dictionary) and augmented with synthetic examples generated by a large language model.
Uses
Direct Use
This model takes a Japanese sentence as input and predicts the most likely grammar point(s) used in that sentence. It can be integrated into language-learning applications, grammar checkers, or reading-assistant tools.
TOC
Out-of-Scope Use
Machine translation or text generation tasks.
Understanding semantics beyond grammar point identification.
Finetune Details
Finetune Data
Source: 日本語文型辞典 covering ~2400 grammar points.
Augmentation: Synthetic sentences generated via a large language model to balance low-frequency grammar points (minimum 20 examples per point).
Finetune Procedure
Preprocessing: Tokenization with MeCab + Unidic lite; WordPiece subword encoding.
