Fusing Stylometric and Embedding Systems to Estimate Authorship Likelihood Ratios in Japanese

arXiv:2606.13991v1 Announce Type: new Abstract: The likelihood ratio framework is widely recognized as the logically and legally sound basis for evidential analysis across forensic sciences, and its importance is increasingly acknowledged in analyses of authorship in textual evidence. To date, however, its application has been confined to English-language texts. Meanwhile, authorship attribution has traditionally relied on a diverse array of stylometric features, even as the rise of pre-trained large language models enables new contextual-embedding approaches. Combining these diverse approache