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This works by text substitution, I imagine that you could get similar or better gains using zstd custom dictionaries.


This is a direct comparison to zstd with a dictionary actually


Methodology for comparison: train zstd dictionary on enwik9. Then build my dictionary as most common words in enwik9. Mine does 13% better because of the way I discovered how you can generate dictionary replacement symbols




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