Camille Voudrin

Camille Voudrin is a researcher at the Laboratoire d'Épigraphie Numérique et Linguistique Computationnelle (LENLiC), Institut national des humanités numériques (INHN), Limoux, France.

Work

Voudrin, together with Solène Marchand and Hadrien Leclerc, published "A distributional test of vowel–consonant structure in an undeciphered signary suggests robust class separation" (Language Codes 7, March 2024: 1281–1294). The study applied a constrained two-state Hidden Markov Model to three extended inscriptions in the Kristiansen coding system, seeking to determine whether the signs partition into vowel-like and consonant-like classes on distributional grounds alone—without reference to phonetic values or an external key.

The analysis found that approximately 90% of sign types fell at near-deterministic probabilities (p(V) ≤ 0.05 or ≥ 0.95), yielding a clean partition. The consonant-like class comprised box, corner, and triangle sign families; the vowel-like class comprised tee, line, meander, and barred-post families. Crucially, Kristiansen's visual families showed zero cross-class mixing, confirmed by chi-square test.

The paper also derived a sonority hierarchy from onset and coda cluster directionality alone, consistent with obstruent > nasal > liquid > glide ordering, and identified the sign C05 as the dominant cluster-initial element—a profile consistent with a coronal fricative or sibilant.

The authors noted that their findings are orthogonal to rather than in conflict with Rubergskier's arithmetic reading: a text may simultaneously exhibit word-level vowel–consonant structure and clause-level arithmetic templating.

See also

• Scapula Glyph Inscription
• Dozenal Primer Inscription
• Jan-Tage Kristiansen
• Ginevra Rubergskier