Lexically Aware Semi-Supervised Learning for OCR Post-Correction

Lexically Aware Semi-Supervised Learning for OCR Post-Correction

4 November 2021

Shruti Rijhwani

Daisy Rosenblum

Antonios Anastasopoulos

Graham Neubig

Papers citing "Lexically Aware Semi-Supervised Learning for OCR Post-Correction"

8 / 8 papers shown

Title
RoundTripOCR: A Data Generation Technique for Enhancing Post-OCR Error Correction in Low-Resource Devanagari Languages Harshvivek Kashid Pushpak Bhattacharyya 79 1 0 14 Dec 2024
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages Sebastian Ruder J. Clark Alexander Gutkin Mihir Kale Min Ma ... Dan Garrette R. Ingle Melvin Johnson Dmitry Panteleev Partha P. Talukdar ELM 22 38 0 19 May 2023
User-Centric Evaluation of OCR Systems for Kwak'wala Shruti Rijhwani Daisy Rosenblum Michayla King Antonios Anastasopoulos Graham Neubig 11 5 0 26 Feb 2023
Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs Anej Svete Benjamin Dayan Tim Vieira Ryan Cotterell Jason Eisner 24 1 0 17 Jan 2023
A Benchmark and Dataset for Post-OCR text correction in Sanskrit Ayush Maheshwari Nikhil Singh Amrith Krishna Ganesh Ramakrishnan 26 12 0 15 Nov 2022
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval Uri Alon Frank F. Xu Junxian He Sudipta Sengupta Dan Roth Graham Neubig RALM 77 62 0 28 Jan 2022
Lacuna Reconstruction: Self-supervised Pre-training for Low-Resource Historical Document Transcription Nikolai Vogler J. Allen M. Miller Taylor Berg-Kirkpatrick 26 5 0 16 Dec 2021
Revisiting Self-Training for Neural Sequence Generation Junxian He Jiatao Gu Jiajun Shen MarcÁurelio Ranzato SSL LRM 244 269 0 30 Sep 2019