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New research fuses stylometric and embedding AI for Japanese authorship attribution

By PulseAugur Editorial · [2 sources] ·

A new research paper explores the application of likelihood ratio frameworks for authorship attribution in Japanese texts, a domain previously limited to English. The study introduces a fused system combining traditional stylometric features with modern embedding-based approaches from large language models. This integrated method demonstrates improved performance, maintaining excellent calibration while enhancing the discriminability of authorship evidence. AI

IMPACT This research could enable more robust AI-driven forensic text analysis in non-English languages.

RANK_REASON The cluster contains a research paper detailing a novel methodology for authorship attribution.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New research fuses stylometric and embedding AI for Japanese authorship attribution

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The cluster contains a research paper detailing a novel methodology for authorship attribution.
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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Praju Ghatpande, Satoru Tsuge, Shunichi Ishihara, Wataru Zaitsu, Mitsuyuki Inaba ·

    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 evid…

  2. arXiv cs.CL TIER_1 English(EN) · Mitsuyuki Inaba ·

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

    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…

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