Exploring the Boundaries: The Present and Future of AI-powered Handwritten Text Recognition
- Authors
This ACDH lecture by Achim Rabus provides an overview of recent developments in AI-powered Handwritten Text Recognition. It examines how HTR models perform across different languages and writing systems and discusses advanced approaches that go beyond basic transcription. The lecture also considers how HTR enables the large-scale digitisation of handwritten sources and demonstrates how the resulting text corpora can be used for further research and analysis.
Learning Outcomes
After watching this video, learners will be able to:
- explain the basic capabilities and limitations of AI-powered Handwritten Text Recognition
- describe how HTR can be applied across different languages and scripts and support tasks such as transliteration and abbreviation expansion
- discuss how large-scale HTR can enable new approaches to working with digitised text corpora
ACDH Lecture
