Author

Nicolas Turenne

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Open access Sep 2026

Integrating scanned literature and online sources to build a data text collection for plant biodiversity

Abstract Background Plant taxonomic descriptions are essential for botany, but remain scattered in unstructured texts. Automatic trait extraction is difficult due to linguistic variation, specialised terminology and the need for large, structured datasets. New information Methods: We developed WordGen, an algorithm for...

Nicolas Turenne, E. Chenin, Y. Sklab et al. · Biodiversity Data Journal · 0 citations

#natural language process... Preprint Jul 2026

A Generative Grammar Underlying the Voynich Manuscript, the Pastiche Hypothesis: Evidence from Large Language Models

Background: The Voynich Manuscript is a fifteenth-century codex written in an unknown script whose content remains undeciphered. Previous studies suggest that its statistical properties resemble those of natural languages, while its illustrations - primarily plants - recall medieval herbals. Methods: We present a multi...

Nicolas Turenne · 0 citations

Preprint Aug 2026

Automated pipeline for herbarium label digitization

By automating the extraction of structured metadata from complex, heterogeneous labels, HERBIOME reduces transcription burden, enables the construction of paired image-text datasets that faithfully capture specimen individuality, which is a prerequisite for next-generation multimodal biodiversity AI systems.

Hiba Abbad, Hanane Ariouat, Eva Perez Pimparé et al. · 0 citations