Paper Info
Title
From the Paft to the Fiiture - a Fully Automatic NMT and Word Embeddings Method for OCR Post-Correction.
Abstract
A great deal of historical corpora suffer from errors introduced by the OCR (optical character recognition) methods used in the digitization process. Correcting these errors manually is a time-consuming process and a great part of the automatic approaches have been relying on rules or supervised machine learning. We present a fully automatic unsupervised way of extracting parallel data for training a character-based sequence-to-sequence NMT (neural machine translation) model to conduct OCR error correction.
Year
DOI
Venue
2019
10.26615/978-954-452-056-4_051
RANLP
Field
DocType
ISSN
Computer science,Speech recognition
Conference
Proceedings of Recent Advances in Natural Language Processing. Angelova, G., Mitkov, R., Nikolova, I. & Temnikova, I. (eds.). Shoumen: INCOMA, p. 432-437 6 p (2019)
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Mika Hämäläinen105.07
Simon Hengchen202.37