Add to ORKGThis paper presents contribution to PolEval 2021 Task 3: Post-correction of OCR results. The system was scored second and achieved word error rate (WER) 4.3% (compared to 18.1% for the original OCR output)
This thesis presents a system for correcting errors from optical character recognition (OCR) softwar...
In this paper, stochastic error-correcting parsing is proposed as a powerful and flexible method to ...
In this paper, stochastic error-correcting parsing is pro-posed as a powerful and flexible method to...
This paper describes the second round of the ICDAR 2019 competition on post-OCR text correction and ...
Post processing is the most conventional approach for correcting errors that are caused by Optical C...
The accuracy of Optical Character Recognition (OCR) technologies considerably impacts the way digita...
One of the major challenges of using historical document collections for research is the fact that O...
International audienceCombining character level and word level RNNs for post-OCR error detection Pos...
This paper describes a new expert system for automatically correcting errors made by optical charact...
Post-OCR is an important processing step that follows optical character recognition (OCR) and is mea...
Optical Character Recognition (OCR) Post Processing involves data cleaning steps for documents that ...
International audienceIn this paper we present a novel approach to the automatic correction of OCR-i...
Post-processing is a crucial step in improving the performance of OCR process. In this paper, we pre...
Optical character recognition (OCR) is a recognition system used to recognize the substance of a che...
International audienceWe present an experiment conducted on the automatic spelling correction of tex...
This thesis presents a system for correcting errors from optical character recognition (OCR) softwar...
In this paper, stochastic error-correcting parsing is proposed as a powerful and flexible method to ...
In this paper, stochastic error-correcting parsing is pro-posed as a powerful and flexible method to...
This paper describes the second round of the ICDAR 2019 competition on post-OCR text correction and ...
Post processing is the most conventional approach for correcting errors that are caused by Optical C...
The accuracy of Optical Character Recognition (OCR) technologies considerably impacts the way digita...
One of the major challenges of using historical document collections for research is the fact that O...
International audienceCombining character level and word level RNNs for post-OCR error detection Pos...
This paper describes a new expert system for automatically correcting errors made by optical charact...
Post-OCR is an important processing step that follows optical character recognition (OCR) and is mea...
Optical Character Recognition (OCR) Post Processing involves data cleaning steps for documents that ...
International audienceIn this paper we present a novel approach to the automatic correction of OCR-i...
Post-processing is a crucial step in improving the performance of OCR process. In this paper, we pre...
Optical character recognition (OCR) is a recognition system used to recognize the substance of a che...
International audienceWe present an experiment conducted on the automatic spelling correction of tex...
This thesis presents a system for correcting errors from optical character recognition (OCR) softwar...
In this paper, stochastic error-correcting parsing is proposed as a powerful and flexible method to ...
In this paper, stochastic error-correcting parsing is pro-posed as a powerful and flexible method to...