This recorded seminar, hosted by the Department of English and Communication at Hong Kong Polytechnic University, features Dr. Andrew Anini of the University of Manchester discussing an interpretable cognitive‑linguistic approach to authorship analysis that employs a likelihood‑ratio framework. The presentation outlines a computational method designed to meet forensic‑science best‑practice standards for disputed documents, linking linguistic plausibility with statistical rigor. The talk situates the method within forensic linguistics, emphasizing its relevance to authorship attribution and forensic text comparison.
Bears on: authorship & stylometry · concepts & methods