[en] This article proposes a small-scale investigation on the use of generative AI agents for post-OCR correction in historical datasets. Three chatbots, ChatGPT-4, Google Bard and YouChat and excerpts from 18th century French texts were utilised. The evaluation included qualitative and quantitative methods. Character and word error rates (CER, WER) were computed both by the agents and independently using a specialised Python library, and gold standard excerpts from the ICDAR 2017 competition on post-OCR text correction.
Disciplines :
Arts & humanities: Multidisciplinary, general & others
Author, co-author :
ARMASELU, Florentina ; University of Luxembourg > Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History and Historiography
External co-authors :
no
Language :
English
Title :
Small-Scale Testing on Generative AI and Post-OCR Correction in Historical Datasets
