Unmasking text plagiarism using syntactic-semantic based natural language processing techniques: Comparisons, analysis and challenges

The proposed work aims to explore and compare the potency of syntactic-semantic based linguistic structures in plagiarism detection using natural language processing techniques. The current work explores linguistic features, viz., part of speech tags, chunks and semantic roles in detecting plagiariz...

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Veröffentlicht in:	Information processing & management 2018-05, Vol.54 (3), p.408-432
Hauptverfasser:	K., Vani, Gupta, Deepa
Format:	Artikel
Sprache:	eng
Schlagworte:	Chunking Complexity Datasets Feature extraction Linguistics Natural language processing Plagiarism Plagiarism detection POS tagging Semantic role labelling Semantics Syntactic-semantic Systems analysis Technological change
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