Saw AI Engine
High-performance language model training and subword embedding research for the Myanmar language. Building the foundation for next-generation Burmese NLP.
Subword Tokenization
Custom BPE tokenizer trained on 50M+ Myanmar text tokens for precise language understanding.
Large Corpus
Trained on curated Myanmar news, literature, and social media data for broad linguistic coverage.
Efficient Architecture
Optimized transformer architecture designed for low-resource language settings.
Open Research
Sharing our findings and methodologies with the Myanmar AI research community.
Multilingual Support
Cross-lingual capabilities bridging Myanmar with English and other Southeast Asian languages.
NLP Benchmarks
Evaluated on sentiment analysis, named entity recognition, and text classification tasks.
Interested in collaboration?
We're open to research partnerships and contributions to Myanmar NLP.
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