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        <title>From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-Correction</title>
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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.</abstract>
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    <identifier type="doi">10.26615/978-954-452-056-4_051</identifier>
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%0 Conference Proceedings
%T From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-Correction
%A Hämäläinen, Mika
%A Hengchen, Simon
%S Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
%D 2019
%8 sep
%I INCOMA Ltd.
%C Varna, Bulgaria
%F hamalainen-hengchen-2019-paft
%X 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.
%R 10.26615/978-954-452-056-4_051
%U https://aclanthology.org/R19-1051
%U https://doi.org/10.26615/978-954-452-056-4_051
%P 431-436

Markdown (Informal)

[From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-Correction](https://aclanthology.org/R19-1051) (Hämäläinen & Hengchen, RANLP 2019)

• From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-Correction (Hämäläinen & Hengchen, RANLP 2019)

ACL

• Mika Hämäläinen and Simon Hengchen. 2019. From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-Correction. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), pages 431–436, Varna, Bulgaria. INCOMA Ltd..