Date on Master's Thesis/Doctoral Dissertation
12-2017
Document Type
Master's Thesis
Degree Name
M.S.
Department
Computer Engineering and Computer Science
Degree Program
Computer Science, MS
Committee Chair
Yampolskiy, Roman
Committee Co-Chair (if applicable)
Imam, Ibrahim
Committee Member
Imam, Ibrahim
Committee Member
El-Baz, Ayman
Abstract
Authorship analysis is a process of identifying a true writer of a given document and has been studied for decades. However, only a handful of studies of authorship analysis of translators are available despite the fact that online translations are widely available and also popularly employed in automatic translations of posts in social networking services. The identification of translation algorithms has potential to contribute to the investigation of cybercrimes, involving translation of scam messages by algorithmic translations to reach speakers of foreign languages. This study tested bag of words (BOW) approach in authorship attribution and the existing approaches to translator attribution. We also proposed a simple but accurate feature that extracts the combinations of lexical and syntactic information from texts. Our experiments show that the proposed feature is text size invariant.
Recommended Citation
Nishiyama, Keishin, "Authorship identification of translation algorithms." (2017). Electronic Theses and Dissertations. Paper 2840.
https://doi.org/10.18297/etd/2840
