Header

UZH-Logo

Maintenance Infos

Evaluating State-of-the-Art Handwritten Text Recognition (HTR) Engines; with Large Language Models (LLMs) for Historical Document Digitisation


Gundram, Leifert; Romein, Christel Annemieke; Rabus, Achim; Ströbel, Phillip Benjamin; Kiessling, Ben; Hodel, Tobias (2023). Evaluating State-of-the-Art Handwritten Text Recognition (HTR) Engines; with Large Language Models (LLMs) for Historical Document Digitisation. In: Conference on Computational Humanities Research, Paris, 2023.

Statistics

Downloads

0 downloads since deposited on 20 Dec 2023
0 downloads since 12 months

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:410 Linguistics
000 Computer science, knowledge & systems
Uncontrolled Keywords:Digital Humanities, Handwritten Text Recognition, Optical Character Recognition, character error rate, evaluation, large language models
Language:English
Event End Date:2023
Deposited On:20 Dec 2023 12:25
Last Modified:04 Jan 2024 21:11
OA Status:Closed
Official URL:https://zenodo.org/records/8102666