# Korean text processing

A Korean personal name recognition model fine-tuned based on kor-bert, used to identify and anonymize Korean personal names in text.

Funnel-transformer base model trained on 70GB Korean text dataset, using 42,000 lowercase subword units

Albert base model trained on 70GB Korean text dataset, using 42,000 lowercase subword units

KoBART-base-v2 is a Korean pre-trained model based on the BART architecture, optimized for long-sequence semantic processing through the addition of chat data.

KoBERT is a Korean pre-trained language model based on the BERT architecture, suitable for various Korean natural language processing tasks.

Korean BERT base model trained on a 70GB Korean text dataset, using 42,000 lowercase subword units.