general
fact
bullish
Resampling source prefixes without replacement and reweighting by inverse inclusion probability gives an unbiased estimator of target prefix probability in TLMs
Instead, we resample source prefixes without replacement and reweight each selected prefix by the inverse of its inclusion probability. We show that applying this correction recursively gives an unbiased estimator of the target prefix probability and lets us estimate the mass lost by threshold pruning.
Computation and Language30 Aug 2026