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Advanced Applications on Bilingual Document Analysis and Processing Systems

Advanced Applications on Bilingual Document Analysis and Processing Systems

Shalini Puri, Satya Prakash Singh
Copyright: © 2020 |Volume: 11 |Issue: 4 |Pages: 45
ISSN: 1947-8283|EISSN: 1947-8291|EISBN13: 9781799802877|DOI: 10.4018/IJAMC.2020100108
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MLA

Puri, Shalini, and Satya Prakash Singh. "Advanced Applications on Bilingual Document Analysis and Processing Systems." IJAMC vol.11, no.4 2020: pp.149-193. http://doi.org/10.4018/IJAMC.2020100108

APA

Puri, S. & Singh, S. P. (2020). Advanced Applications on Bilingual Document Analysis and Processing Systems. International Journal of Applied Metaheuristic Computing (IJAMC), 11(4), 149-193. http://doi.org/10.4018/IJAMC.2020100108

Chicago

Puri, Shalini, and Satya Prakash Singh. "Advanced Applications on Bilingual Document Analysis and Processing Systems," International Journal of Applied Metaheuristic Computing (IJAMC) 11, no.4: 149-193. http://doi.org/10.4018/IJAMC.2020100108

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Abstract

Today, rapid digitization requires efficient bilingual non-image and image document classification systems. Although many bilingual NLP and image-based systems provide solutions for real-world problems, they primarily focus on text extraction, identification, and recognition tasks with limited document types. This article discusses a journey of these systems and provides an overview of their methods, feature extraction techniques, document sets, classifiers, and accuracy for English-Hindi and other language pairs. The gaps found lead toward the idea of a generic and integrated bilingual English-Hindi document classification system, which classifies heterogeneous documents using a dual class feeder and two character corpora. Its non-image and image modules include pre- and post-processing stages and pre-and post-segmentation stages to classify documents into predefined classes. This article discusses many real-life applications on societal and commercial issues. The analytical results show important findings of existing and proposed systems.

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