A Novel Pipeline for Improving Optical Character Recognition through Post-processing Using Natural Language Processing

9 July 2023

Papers citing "A Novel Pipeline for Improving Optical Character Recognition through Post-processing Using Natural Language Processing"

7 / 7 papers shown

Title
Towards a Cleaner Document-Oriented Multilingual Crawled Corpus Julien Abadji Pedro Ortiz Suarez Laurent Romary Benoît Sagot CLL 89 159 0 17 Jan 2022
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models Minghao Li Tengchao Lv Jingye Chen Lei Cui Yijuan Lu D. Florêncio Cha Zhang Zhoujun Li Furu Wei ViT 246 372 0 21 Sep 2021
ByT5: Towards a token-free future with pre-trained byte-to-byte models Linting Xue Aditya Barua Noah Constant Rami Al-Rfou Sharan Narang Mihir Kale Adam Roberts Colin Raffel 104 506 0 28 May 2021
PP-OCR: A Practical Ultra Lightweight OCR System Yuning Du Chenxia Li Ruoyu Guo Xiaoting Yin Weiwei Liu ... Yifan Bai Zilin Yu Yehua Yang Qingqing Dang Hongya Wang 78 195 0 21 Sep 2020
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension M. Lewis Yinhan Liu Naman Goyal Marjan Ghazvininejad Abdel-rahman Mohamed Omer Levy Veselin Stoyanov Luke Zettlemoyer AIMat VLM 266 10,861 0 29 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 490 20,342 0 23 Oct 2019
Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition Chee-Kheng Chng Chee Seng Chan 72 462 0 28 Oct 2017