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cs.CL2026
CHiPS: Character Histograms and Positional Signals for Lightweight Authorship Attribution in Romanian Texts
Sanda-Maria Avram, George C. Ţurcaş
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 a…
cs.CL2026
Language Identification via Compositional Data Analysis: A Linear-Time Classifier Based on Log-Ratio Geometry
Paul-Andrei Pogăcean, Sanda-Maria Avram
Language identification is commonly addressed using either neural architectures or statistical n-gram models. Neural approaches typically require substantial computational resource…