CLOCR-C: Context Leveraging OCR Correction with Pre-trained Language Models

CLOCR-C: Context Leveraging OCR Correction with Pre-trained Language Models

30 August 2024

Jonathan Bourne

Papers citing "CLOCR-C: Context Leveraging OCR Correction with Pre-trained Language Models"

5 / 5 papers shown

Title
Multimodal LLMs for OCR, OCR Post-Correction, and Named Entity Recognition in Historical Documents Gavin Greif Niclas Griesshaber Robin Greif OffRL 41 0 0 01 Apr 2025
Benchmarking Large Language Models for Handwritten Text Recognition Giorgia Crosilla Lukas Klic Giovanni Colavizza 33 0 0 19 Mar 2025
Reading the unreadable: Creating a dataset of 19th century English newspapers using image-to-text language models Jonathan Bourne 65 0 0 24 Feb 2025
Scrambled text: training Language Models to correct OCR errors using synthetic data Jonathan Bourne SyDa 28 2 0 29 Sep 2024
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020