From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-Correction

Mika Hämäläinen; Simon Hengchen

doi:10.26615/978-954-452-056-4_051

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arXiv · 1910.05535

From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-Correction

Mika Hämäläinen·Simon Hengchen

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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.

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Mika Hämäläinen, Simon Hengchen. 2019-10-12. From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-Correction. https://doi.org/10.26615/978-954-452-056-4_051

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