|Title of host publication||New Threats and Countermeasures in Digital Crime and Cyber Terrorism|
|Editors||Maurice Dawson, Marwan Omar|
|Number of pages||22|
|ISBN (Print)||1466683457, 9781466683457|
|Publication status||Published - 30 Apr 2015|
This chapter introduces Native Language Identification (NLID) and considers the casework applications with regard to authorship analysis of online material. It presents findings from research identifying which linguistic features were the best indicators of native (L1) Persian speakers blogging in English, and analyses how these features cope at distinguishing between native influences from languages that are linguistically and culturally related. The first chapter section outlines the area of Native Language Identification, and demonstrates its potential for application through a discussion of relevant case history. The next section discusses a development of methodology for identifying influence from L1 Persian in an anonymous blog author, and presents findings. The third part discusses the application of these features to casework situations as well as how the features identified can form an easily applicable model and demonstrates the application of this to casework. The research presented in this chapter can be considered a case study for the wider potential application of NLID.
|Name||Premier Reference Source|
Perkins, R. C. (2015). Native Language Identification (NLID) for Forensic Authorship Analysis of Weblogs. In M. Dawson, & M. Omar (Eds.), New Threats and Countermeasures in Digital Crime and Cyber Terrorism (pp. 213-234). (Premier Reference Source). IGI Global. https://doi.org/10.4018/978-1-4666-8345-7.ch012, https://doi.org/10.4018/978-1-4666-8345-7.ch012