Using the Google Web 1T 5-Gram Corpus for OCR Error Correction-Reference-Cited by-同舟云学术

Using the Google Web 1T 5-Gram Corpus for OCR Error Correction

Published:2019 Issue: Volume: Page:505-511
ISSN:2194-5357
Container-title:16th International Conference on Information Technology-New Generations (ITNG 2019)
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Author:

Cacho Jorge Ramón Fonseca,Taghva Kazem,Alvarez Daniel

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-14070-0_71

Reference21 articles.

1. Brants, T., Franz, A.: Web 1t 5-gram version 1 (2006)

2. Kantor, P.B., Voorhees, E.M.: The trec-5 confusion track: comparing retrieval methods for scanned text. Inf. Retr. 2(2–3), 165–176 (2000)

3. Levenshtein, V.I.: Binary codes capable of correcting deletions, insertions, and reversals. Sov. Phys. Dokl. 10(8), pp. 707–710 (1966)

4. Islam, A., Inkpen, D.: Real-word spelling correction using Google web it 3-grams. In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3-Volume 3. Association for Computational Linguistics, pp. 1241–1249 (2009)

5. Guyon, I., Pereira, F.: Design of a linguistic postprocessor using variable memory length Markov models. In: Document Analysis and Recognition, 1995 Proceedings of the Third International Conference on, vol. 1, pp. 454–457. IEEE (1995)

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