Type

Conference Proceedings

Authors

Páraic Sheridan
Andy Way
Zhengwei Qui
Haithem Afli

Subjects

Computer Science

Topics
smt machine translation speechtospeech translation language modelling error correction optical scanners optical character recognition machine translating

Using SMT for OCR error correction of historical texts (2016)

Abstract A trend to digitize historical paper-based archives has emerged in recent years, with the advent of digital optical scanners. A lot of paper-based books, textbooks, magazines, articles, and documents are being transformed into electronic versions that can be manipulated by a computer. For this purpose, Optical Character Recognition (OCR) systems have been developed to transform scanned digital text into editable computer text. However, different kinds of errors in the OCR system output text can be found, but Automatic Error Correction tools can help in performing the quality of electronic texts by cleaning and removing noises. In this paper, we perform a qualitative and quantitative comparison of several error-correction techniques for historical French documents. Experimentation shows that our Machine Translation for Error Correction method is superior to other Language Modelling correction techniques, with nearly 13% relative improvement compared to the initial baseline.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: ADAPT
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: Centre for Next Generation Localisation (CNGL)
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Machine translating

Full list of authors on original publication

Páraic Sheridan, Andy Way, Zhengwei Qui, Haithem Afli

Experts in our system

1
Paraic Sheridan
Dublin City University
Total Publications: 5
 
2
Andy Way
Dublin City University
Total Publications: 229
 
3
Haithem Afli
Dublin City University
Total Publications: 14