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NCJ Number: NCJ 172234     Find in a Library
Title: Daubert-Inspired Assessment of Language-Based Author Identification
Author(s): C E Chaski
Date Published: 1998
Page Count: 60
Sponsoring Agency: National Institute of Justice
US Department of Justice
Office of Justice Programs
United States of America

US Dept of Justice NIJ Pub
United States of America
Grant Number: 95-IJ-CX-0012; 97-LB-VX-0011
Sale Source: National Institute of Justice/NCJRS
Box 6000
Rockville, MD 20849
United States of America

NCJRS Photocopy Services
Box 6000
Rockville, MD 20849-6000
United States of America
Type: Report (Technical)
Language: English
Country: United States of America
Annotation: Both forensic linguistics and traditional document examiners agree that no evidentiary conclusions can be based on a single attribute and that courts cannot depend totally on language-based author identification techniques.
Abstract: The primary danger of language-based author identification techniques is that justice may be subverted because certain ideas about language use may result in false identifications or false eliminations. Empirical findings from a study of language-based author identification techniques using a set of four writers extracted from a writing sample database indicate that the authorship of a document should not be decided based on common conceptions of language such as spelling errors and vocabulary words. Further, the study demonstrates that language experts who offer common conceptions evidence should not testify about the authorship of a document and that language experts should be used to counter other language experts who offer common conceptions evidence. Empirical results also show that two language-based author identification techniques, punctuation patterns and syntactic structures, are especially misleading. The author concludes that determining authorship from a fixed set of suspect documents is not the same as determining individuality in language and that an entire database representative of an appropriate sample of the general population would have to be analyzed and quantified for language-based author identification to truly develop. Legal options for introducing language-based author identification evidence are examined, as well as distinctions between common versus scientific conceptions of language, and a review of the language-based author identification literature is included. The validity of linguistic assumptions in evidence identification and analysis and the application of linguistics to forensic casework are discussed. 82 references and 26 tables
Main Term(s): Courts
Index Term(s): Document analysis ; Evidence identification and analysis ; Handwriting analysis ; Criminal investigation ; Criminalistics ; Forensics/Forensic Sciences ; NIJ grant-related documents
   
  To cite this abstract, use the following link:
https://www.ncjrs.gov/App/Publications/abstract.aspx?ID=172234

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