This study explores how the American magazine The Delineator reflects the evolving representation of the 'New Woman' from 1894 to 1914 through its visual content. By employing artificial intelligence techniques, particularly CLIP, the research shifts focus from text to visual analysis, revealing insights into societal perceptions of femininity.

This paper demonstrates how ChatGPT simplifies SKOS thesauri creation from hand-drawn sketches or digital drafts, improving efficiency over traditional editors. Testing with DH and fictional taxonomies reveals high accuracy but minor errors. While less suited for large thesauri, this method promotes FAIR data practices and facilitates SKOS thesauri development.

This paper introduces an interdisciplinary pilot project centered on the automatic transcription of Catalan manuscripts from the Late Middle Ages, focusing on notarial documentation. We describe the creation of a new dataset for our initial experiments. The resulting datasets, models, and code will be made publicly available.

We describe advances and results in developing four accurate Handwritten Text Recognition models for the automatic transcription of Itálica cursiva, Procesal simple, Redonda, and Procesal encadenada calligraphies, the most prevalent in 16^th-17^th-century Spanish American historical documents.

This study explores the use of large language models (LLMs) for correcting OCR errors in 19th-century French texts. Despite its advanced capabilities, fine-tuned models faced challenges with generalization, increasing error rates. The findings highlight limitations of LLMs in character-level OCR corrections and point to future research directions.