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A4LL positions itself in the field of Automatic Writing Assessment (AWE) systems. The project addresses the gap in current language learning tools by providing a teacher-centric diagnostic system to help teachers visualize the diversity of linguistic profiles in their classes. It offers more than just error identification as it relies on empirically grounded objective textual measures associated with proficiency. Vizualisations show individual and subgroup profiles according to pedagogically-actionable criteria.

Présentation des principes de Random Forest

Client (100% statique HTML/CSS/JavaScript) pour le projet de l'Anthologie Palatine

À nourrir avec une API comme https://anthologia.ecrituresnumeriques.ca

Démo : http://pop.anthologiegrecque.org

Site Web du Workshop « Ὅσοι ἄνθρωποι, τοσαῦται γνῶμαι ! Harmonizing Guidelines for Handwritten Text Recognition of Ancient Greek » qui se tiendra à DH2025 (Lisbonne, 14-18 juillet 2025).