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Found 3 papers, 1 papers with code
“Shakespeare in the Vectorian Age” – An evaluation of different word embeddings and NLP parameters for the detection of Shakespeare quotes
In this paper we describe an approach for the computer-aided identification of Shakespearean intertextuality in a corpus of contemporary fiction.
On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation
We investigate how to train a high quality optical character recognition (OCR) model for difficult historical typefaces on degraded paper.
An Evaluation of DNN Architectures for Page Segmentation of Historical Newspapers
One important and particularly challenging step in the optical character recognition (OCR) of historical documents with complex layouts, such as newspapers, is the separation of text from non-text content (e. g. page borders or illustrations).
Optical Character Recognition
Optical Character Recognition (OCR)
