# Southeast Asian Language Processing

Burmese-Bert is a bilingual masked language model based on bert-large-uncased, supporting both English and Burmese.

A Javanese masked language model based on the BERT architecture, fine-tuned on Javanese Wikipedia data

A Sundanese masked language model based on the RoBERTa architecture, trained on multiple datasets.

A sentiment analysis model fine-tuned on the Indonesian RoBERTa model, achieving 92.6% accuracy on the indonlu dataset

A Malay masked language model based on the BERT architecture, trained on the Malay subset of the OSCAR dataset, supporting PyTorch and TensorFlow frameworks.

This model is a text classification model fine-tuned on the indonlu dataset based on indobert-base-uncased, specifically designed for Indonesian language sentiment analysis tasks.