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Biblos-e Archivo
Part of book or chapter of book . 2025
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Forensic linguistics

Authors: Garayzabal Heinze, Elena; Hidalgo de la Guía, Irene;

Forensic linguistics

Abstract

This article introduces the reader to the field of Forensic Linguistics in general and to research findings for some of the Romance languages (Spanish, French, Italian, and Portuguese) in particular. How can we identify a speaker or the author of an anonymously written text for criminal purposes? How does the voice or what we write betray us? These and many other questions are addressed by Forensic Linguistics, a branch of Applied Linguistics that deals with the importance of language in legal, police, and judicial settings. In this work, the main areas of Forensic Linguistics are presented: legal language, language of the court, and language as evidence, as well as the various issues it covers (criminal language, plagiarism, author attribution, author profiling, speaker identification, speaker profiling, etc.), all of which are analysed using different linguistic theories and methodologies considering the different levels of linguistic analysis (phonetics, phonology, morphology, syntax, semantics, and pragmatics)

Country
Spain
Related Organizations
Keywords

French language, Portuguese language, language as evidence, language and the court, Spanish language, legal language, Italian language, Filología

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green