Volume 10, Issue 3 (2019)
LRR 2019, 10(3): 293-317 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Golshaie R. Function Words as Idiolect Markers: A Corpus-based Approach to Authorship Attribution in Farsi. LRR 2019; 10 (3) :293-317
URL: http://lrr.modares.ac.ir/article-14-15756-en.html
URL: http://lrr.modares.ac.ir/article-14-15756-en.html
Assistant Professor of Linguistics- Al-Zahra University –Tehran –Iran. , golshaie@alzahra.ac.ir
Abstract: (5471 Views)
The problem of discovering the identity of anonymous authors has engaged humans' attention during the ages. In present times, with the revolution brought about by digital computing and electronic corpora, and also with the applications made available by stylometry research in forensic linguistics, systematic analysis of texts in different languages has expanded the understanding of researchers on the different aspects of linguistic styles.
In the present study, the possibility of authorship attribution based on idiolect has been investigated in Farsi. One of the linguistic elements that is claimed to be the seat for idiolect is function words. Function words have been the focus of attention in the authorship attribution research since it has been shown that they are processed unconsciously, have high frequency in texts, and remain independent of text topic. In this paper, the possibility of differentiating texts written by different authors has been studied using Farsi function words. The research questions were: 1) Are Farsi functions words capable of differentiating authors in Farsi prose? 2) Of monograms, bigrams, and trigrams, which one is the most efficient in differentiating author styles? 3) What is the minimum cut-off point for successful differentiation of author styles in Farsi?
First, a corpus of five Iranian scholars’ writings was compiled, normalized and divided into different sample texts. Then 20 most frequent words were extracted from different author samples and n-gram sequences (up to tri-grams) were analyzed using principal component analysis and cluster analysis in the Stylo package of R.
Findings showed that function words in Farsi were capable of differentiating authors’ writings with monogram words performing better than bi-gram and tri-grams in small size samples. Findings also indicated that under the experimental conditions used in this study, the minimum number of words for a text to be successfully attributed to an author is about 4000 words. This cut-off point is reached using 20 most frequent function words. It is concluded that different authors don't use function words in the same manner. In fact, while some high-frequency function words appear in the writings of all authors, they are given different priorities by different authors.
In the present study, the possibility of authorship attribution based on idiolect has been investigated in Farsi. One of the linguistic elements that is claimed to be the seat for idiolect is function words. Function words have been the focus of attention in the authorship attribution research since it has been shown that they are processed unconsciously, have high frequency in texts, and remain independent of text topic. In this paper, the possibility of differentiating texts written by different authors has been studied using Farsi function words. The research questions were: 1) Are Farsi functions words capable of differentiating authors in Farsi prose? 2) Of monograms, bigrams, and trigrams, which one is the most efficient in differentiating author styles? 3) What is the minimum cut-off point for successful differentiation of author styles in Farsi?
First, a corpus of five Iranian scholars’ writings was compiled, normalized and divided into different sample texts. Then 20 most frequent words were extracted from different author samples and n-gram sequences (up to tri-grams) were analyzed using principal component analysis and cluster analysis in the Stylo package of R.
Findings showed that function words in Farsi were capable of differentiating authors’ writings with monogram words performing better than bi-gram and tri-grams in small size samples. Findings also indicated that under the experimental conditions used in this study, the minimum number of words for a text to be successfully attributed to an author is about 4000 words. This cut-off point is reached using 20 most frequent function words. It is concluded that different authors don't use function words in the same manner. In fact, while some high-frequency function words appear in the writings of all authors, they are given different priorities by different authors.
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |