wubi 0.3.0

Self-developed Wubi 86 encoder, dictionary, and dataset (PHF + FST, WASM-ready).
Documentation 
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# Weight derivation parameters. Bumping any value here is a wubi data
# version bump — `wubi-build-weights` writes the SHA of this file into
# provenance.toml so future contributors can detect drift.

[normalization]
# Per-layer raw counts → log → min-max normalized to [0, max_freq_score].
# Cap must fit in 56 bits (FST value's freq half) AND stay well below
# LAYER_BASE differences so a high-freq Auto entry can never outrank a
# low-freq Phrase. Smallest LAYER_BASE gap is 100k (Phrase=400k vs
# Zigen=500k), so 50k is safely under that.
max_freq_score = 50_000

# log(1 + raw) before scaling. Natural log is the conventional choice.
log_base = 2.718281828459045

# Words with raw aggregated count below this get freq_score = 0
# (denoise — rare matches are usually OCR noise / encoding errors).
min_count = 5

# When multiple corpora are configured, aggregate per-word counts are
# `sum_i (count_i * weight_i)` where weight_i comes from manifest.toml.
# This is just here for forward-compat with future smoothing knobs.
aggregation = "weighted_sum"