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cs.CL2026
Fusing Stylometric and Embedding Systems to Estimate Authorship Likelihood Ratios in Japanese
Praju Ghatpande, Satoru Tsuge, Shunichi Ishihara +2
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 ac…
cs.CL2025
Integrated ensemble of BERT- and features-based models for authorship attribution in Japanese literary works
Taisei Kanda, Mingzhe Jin, Wataru Zaitsu
Traditionally, authorship attribution (AA) tasks relied on statistical data analysis and classification based on stylistic features extracted from texts. In recent years, pre-train…
cs.CL2023★ 1 cited
Distinguishing ChatGPT(-3.5, -4)-generated and human-written papers through Japanese stylometric analysis
Wataru Zaitsu, Mingzhe Jin
In the first half of 2023, text-generative artificial intelligence (AI), including ChatGPT, equipped with GPT-3.5 and GPT-4, from OpenAI, has attracted considerable attention world…