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
<perkinsria
gmail.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.
Page Updated: 10-Mar-2014