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The integration of Deep Belief Networks (DBNs) into forensic linguistics enhances AI-driven policing in smart cities by automating witness testimony analysis. DBNs address limitations of traditional methods, such as subjectivity and inefficiency, by detecting linguistic markers of deception and inconsistency. AI tools have accelerated investigations by
Abhinash Mohanta +4 more
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Abhinash Mohanta +4 more
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The Application of Forensic Linguistics in Cybercrime Investigations
Policing (Oxford), 2021Ria C Perkins
exaly
Forensic linguistics and forensic phonetics
2022Georgina Brown, Claire Hardaker
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Dimensions of Forensic Linguistics
2008This volume functions as a guide to the multidisciplinary nature of Forensic Linguistics understood in its broadest sense as the interface between language and the law. It seeks to address the links in this relatively young field between theory, method and data, without neglecting the need for new research questions in the field.
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This Element offers a comprehensive examination of forensic linguistics in China. It traces the origins of the field in the 1980s and 1990s, and highlights the progress made in the 2000s, with a focus on the work of influential scholars such as Pan Qingyun, Wang Jie, Du Jinbang, Liao Meizhen, Yuan Chuanyou, and Wang Zhenhua.
Yuan Chuanyou, Xu Youping, Lu Nan
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Yuan Chuanyou, Xu Youping, Lu Nan
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Using digital humanities and linguistics to help with terrorism investigations
Forensic Science International, 2021Julien Longhi
exaly
Protein linguistics — a grammar for modular protein assembly?
Nature Reviews Molecular Cell Biology, 2006Mario Gimona
exaly