kyle-bong/K-TACC
문맥을 고려한 한국어 텍스트 데이터 증강
When working with Korean text for machine learning, you often need more diverse examples to train your models effectively. This tool helps by taking your existing Korean sentences and generating new, contextually natural variations. It outputs augmented datasets that can improve the performance of your text analysis models, making it useful for data scientists and NLP practitioners.
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Use this if you need to expand your Korean text datasets with high-quality, semantically similar sentences to enhance the robustness of your NLP models.
Not ideal if you require augmentation for languages other than Korean or if your primary goal is simple, non-contextual text manipulation.
Stars
21
Forks
2
Language
Python
License
MIT
Category
Last pushed
Oct 18, 2024
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/kyle-bong/K-TACC"
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