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New lightweight method for Romanian text authorship attribution unveiled

Researchers have developed CHiPS, a novel, lightweight method for attributing authorship of Romanian texts based on character-level analysis. This method utilizes character histograms and positional signals, avoiding complex processes like tokenization or transformer fine-tuning. CHiPS-F, a fusion variant, achieved 0.9310 accuracy and 0.9341 macro-F1 on a controlled dataset, demonstrating the effectiveness of restricted, transparent character evidence under strict leakage control. AI

IMPACT This research offers a lightweight, interpretable approach to authorship attribution, potentially useful in digital forensics or literary analysis.

RANK_REASON The cluster contains an academic paper detailing a new method for text analysis. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.CL →

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New lightweight method for Romanian text authorship attribution unveiled

COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Sanda-Maria Avram, George C. \c{T}urca\c{s} ·

    CHiPS: Character Histograms and Positional Signals for Lightweight Authorship Attribution in Romanian Texts

    arXiv:2607.22884v1 Announce Type: new Abstract: We propose CHiPS, a lightweight character-level authorship attribution method for Romanian texts. All reported experiments are closed-set: the true author is one of the candidate authors in the training data. CHiPS studies two compl…