Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Siamese-Based Architecture for Cross-Lingual Plagiarism Detection in English-Hindi Language Pairs Subject The topic of the resource Bi-LSTM; CNN; cross-lingual plagiarism detection; deep learning; Siamese architecture Description An account of the resource The cross-lingual plagiarism detection (CLPD) is a challenging problem in natural language processing. Cross-lingual plagiarism is when a text is translated from any other language and used as it is without proper acknowledgment. Most of the existing methods provide good results for monolingual plagiarism detection, whereas the performances of existing methods for the CLPD are very limited. The reason for this is that it is difficult to represent the text from two different languages in a common semantic space. In this article, a novel Siamese architecture-based model is proposed to detect the cross-lingual plagiarism in English-Hindi language pairs. The proposed model combines the convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM) network to learn the semantic similarity among the cross-lingual sentences for the English-Hindi language pairs. In the proposed model, the CNN model learns the local context of words, whereas the Bi-LSTM model learns the global context of sentences in forward and backward directions. The performances of the proposed models are evaluated on the benchmark data set, that is, Microsoft paraphrase corpus, which is converted in the English-Hindi language pairs. The proposed model outperforms other models giving 67%, 72%, and 67% weighted average precision, recall, and F1-measure scores. The experimental results show the effectiveness of the proposed models over the baseline models because the proposed model is very efficient in representing the cross-lingual text very efficiently. Copyright 2023, Mary Ann Liebert, Inc., publishers 2023. Creator An entity primarily responsible for making the resource Agarwal B.; Gupta M.K.; Sharma H.; Poonia R.C. Source A related resource from which the described resource is derived Big Data, Vol-11, No. 1, pp. 48-58. Publisher An entity responsible for making the resource available Mary Ann Liebert Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1089/big.2020.0243" target="_blank" rel="noreferrer noopener">https://doi.org/10.1089/big.2020.0243</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148113862&amp;doi=10.1089%2Fbig.2020.0243&amp;partnerID=40&amp;md5=1c6e40380eddb57ebf9c9fc74910f569" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148113862&amp;doi=10.1089%2fbig.2020.0243&amp;partnerID=40&amp;md5=1c6e40380eddb57ebf9c9fc74910f569</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21676461; PubMed ID: 36260373 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Agarwal B., Department of Computer Science and Engineering, Indian Institute of Information Technology Kota (IIIT Kota), Rajasthan, Jaipur, India; Gupta M.K., Department of Computer Science and Engineering, Swami Keshvanand Institute of Technology, Management and Gramothan, Rajasthan, Jaipur, India; Sharma H., Department of Computer Science and Engineering, Rajasthan Technical University, Rajasthan, Kota, India; Poonia R.C., Department of Computer Science, Christ (Deemed to Be University), Karnataka, Bangalore, India