Write like Cicero: integrating an AI-based classifier in ancient language teaching for idiom acquisition
Year: 2024
Type: article
Abstract: We developed and trained a custom AI text classifier to assist Latin language learners in internalising idioms, with a focus on Ciceronian composition. Idioms are mostly language-, sometimes author-specific expressions that cannot be translated directly into another language. The classifier provides interactive feedback on learners' output, effectively gamifying the process of writing in Latin and motivating students to produce more linguistic output. This not only helps learners build confidence, but also acquire a ‘toolbox’ of idioms useful for both output- and input-based activities. We present the results of our experiment conducted across a number of secondary classes in Switzerland. Our tool is freely available at https://latin-ia.hepl.ch/classifier .
Authors: Damien Cavaleri, Micha Hersch, Antje Kolde
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4402931576