Hapax and square-root corrections turn uncalibrated LambdaG scores into well-calibrated likelihood ratios for forensic authorship verification, matching logistic regression on fifteen corpora without training a calibration model.
IEEE Transactions on Audio, Speech, and Language Processing , volume =
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Normalisation-Based Likelihood Ratio Estimation for Forensic Authorship Verification
Hapax and square-root corrections turn uncalibrated LambdaG scores into well-calibrated likelihood ratios for forensic authorship verification, matching logistic regression on fifteen corpora without training a calibration model.