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LINGUIST List 25.1194

Mon Mar 10 2014

Diss: Applied Ling, Socioling, Forensic Ling: Perkins: 'Linguistic Identifiers of L1 Persian Speakers Writing in English ...'

Editor for this issue: Xiyan Wang <xiyanlinguistlist.org>

Date: 10-Mar-2014
From: Ria Perkins <perkinsriagmail.com>
Subject: Linguistic Identifiers of L1 Persian Speakers Writing in English. NLID for Authorship Analysis.
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Institution: Aston University
Program: Doctor of Philosophy
Dissertation Status: Completed
Degree Date: 2012

Author: Ria Perkins

Dissertation Title: Linguistic Identifiers of L1 Persian Speakers Writing in English. NLID for Authorship Analysis.

Linguistic Field(s): Applied Linguistics
                            Forensic Linguistics
                            Sociolinguistics

Dissertation Director:
Timother Grant

Dissertation Abstract:

This research focuses on Native Language Identification (NLID), and in
particular, on the linguistic identifiers of L1 Persian speakers writing in
English. This project comprises three sub-studies; the first study devises
a coding system to account for interlingual features present in a corpus of
L1 Persian speakers blogging in English, and a corpus of L1 English blogs.
Study One then demonstrates that it is possible to use interlingual
identifiers to distinguish authorship by L1 Persian speakers. Study Two
examines the coding system in relation to the L1 Persian corpus and a
corpus of L1 Azeri and L1 Pashto speakers. The findings of this section
indicate that the NLID method and features designed are able to
discriminate between L1 influences from different languages. Study Three
focuses on elicited data, in which participants were tasked with disguising
their language to appear as L1 Persian speakers writing in English. This
study indicated that there was a significant difference between the
features in the L1 Persian corpus, and the corpus of disguise texts.

The findings of this research indicate that NLID and the coding system
devised have a very strong potential to aid forensic authorship analysis in
investigative situations. Unlike existing research, this project focuses
predominantly on blogs, as opposed to student data, making the findings
more appropriate to forensic casework data.



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