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Raising the Titanic: Prospects for Reviving the Century Dictionary ...
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Exploiting Script Similarities to Compensate for the Large Amount of Data in Training Tesseract LSTM: Towards Kurdish OCR
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In: Applied Sciences ; Volume 11 ; Issue 20 (2021)
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Reconocimiento automático de un censo histórico impreso sin recursos lingüísticos
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Anitei, Dan. - : Universitat Politècnica de València, 2021
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Quality Measurement for Optical Character Recognition without ground truth data ...
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Quality Measurement for Optical Character Recognition without ground truth data ...
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Improving the recognition of Dutch Gothic machine print, at four levels in the processing pipeline, in four days ...
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Improving the recognition of Dutch Gothic machine print, at four levels in the processing pipeline, in four days ...
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NAT: Noise-Aware Training for Robust Neural Sequence Labeling
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In: Fraunhofer IAIS (2020)
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OPTICAL CHARACTER RECOGNITION APPLIED TO ANDROID-BASED BILINGUAL TRANSLATOR APPLICATION (ENGLISH AND INDONESIAN) TO SIGN LANGUAGE ...
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OPTICAL CHARACTER RECOGNITION APPLIED TO ANDROID-BASED BILINGUAL TRANSLATOR APPLICATION (ENGLISH AND INDONESIAN) TO SIGN LANGUAGE ...
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Bilingual text detection in natural scene images using invariant moments
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Wenn Algorithmen Zeitschriften lesen - vom Mehrwert automatisierter Textanreicherung ...
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Corpus linguistics for History ... : the methodology of investigating place-name discourses in digitised nineteenth-century newspapers ...
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Radical Recognition in Off-Line Handwritten Chinese Characters Using Non-Negative Matrix Factorization
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In: Senior Projects Spring 2016 (2016)
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Drifting through Basic Subprocesses of Reading: A Hierarchical Diffusion Model Analysis of Age Effects on Visual Word Recognition
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In: ISSN: 1664-1078 ; Frontiers in Psychology ; https://hal-amu.archives-ouvertes.fr/hal-01522738 ; Frontiers in Psychology, Frontiers, 2016, 7, pp.1863 - 1863. ⟨10.3389/fpsyg.2016.01863⟩ (2016)
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Using SMT for OCR error correction of historical texts
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In: Afli, Haithem orcid:0000-0002-7449-4707 , Qui, Zhengwei, Way, Andy orcid:0000-0001-5736-5930 and Sheridan, Páraic (2016) Using SMT for OCR error correction of historical texts. In: Tenth International Conference on Language Resources and Evaluation (LREC 2016), 23-28 May 2016, Portorož, Slovenia. ISBN 978-2-9517408-9-1 (2016)
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