Grieve, J., Chiang, E., Clarke, I., Gideon, H., Heini, A., Nini, A., Waibel, E. Attributing the Bixby letter using n-gram tracing. Digital Scholarship in the Humanities.
[Read] [Pre-print]

Grieve, J., Nini, A., Guo, D. Mapping lexical innovation on American social media. Journal of English Linguistics.
[Read] [Supplemental Material]


Nini, A. (2018). An authorship analysis of the Jack the Ripper letters. Digital Scholarship in the Humanities, 33(3),  621-636.
[Read] [Download the Jack the Ripper corpus]


Nini, A. (2017). Register variation in malicious forensic texts. International Journal of Speech, Language and the Law, 24(1), 67-98.
[Read] [Pre-print] [Download the Malicious Forensic Text corpus]

Nini, A., Corradini, C., Guo, D., Grieve, J. (2017). The application of growth curve modeling for the analysis of diachronic corpora. Language Dynamics and Change, 7(1), 102-125.
[Read] [Pre-print]

Continue reading “Publications”



Nini, A. ‘Who wrote the Jack the Ripper letters? A stylometric analysis’. Digital Humanities Congress 2018. The University of Sheffield, Sheffield, UK. 06/09/2018.
[Abstract] [Slides]

Fonteyn, L. & Nini, A. ‘Investigating the ing-form network in the idiolects of 17th century authors’. ICCG10: Tenth International Conference on Construction Grammar, Sorbonne Paris Cité University, Paris, France. 17/07/2018. [>]


Grieve, J., Carmody, E., Clarke, I., Gideon, H., Heini, A., Nini, A., Waibel, E. ‘Attributing the Bixby letter using n-gram tracing’. 9th International Corpus Linguistics Conference, University of Birmingham, Birmingham, UK. 26/07/2017. [>]

Nini, A. 2017. ‘Profiling the anonymous authors of malicious forensic texts’. 13th Biennial Conference of the International Association of Forensic Linguists, University of Porto, Porto, Portugal. 12/07/2017. [>]

Continue reading “Talks”

Forensic authorship analysis

I offer forensic linguistic consultancy for cases of authorship analysis and I also work on historical cases of disputed authorship.

Authorship analysis is the application of linguistic methods to shed light on the authorship of a questioned text. For instance, it can be used to indicate the most likely author of a text from a sample of suspects or the most likely demographic details of an anonymous author. These techniques are commonly adopted in forensic linguistics to solve cases of disputed authorship, including cases of threatening, abusive, or generally malicious texts.

Most of my research and teaching is dedicated to authorship analysis for forensic linguistics. I regularly apply my research to real-life case work for private clients and law enforcement units and I also work on the application of authorship analysis to historical problems of authorship.

Continue reading “Forensic authorship analysis”



The language of crime
School of Arts, Languages and Cultures Stories, 22 March [>]
“That’s another contribution of the Jack the Ripper study; testing and applying methods used to analyse short texts on this case. It’s an addition to that body of research.”

Forensic Linguist Ties Two Jack the Ripper Letters to One Author
Forensic Magazine, 7 February [>]
“Although it’s been more than a century since the murders and letters, the great thing about linguistics is it can’t be degraded—not in the way DNA or fingerprints can. Any ‘new’ evidence found in the case is corrupted because it’s been too long, but not linguistics.”

Jack the Ripper letters ‘faked to sell newspapers’
The Times, 1 February [>]

Jack the Ripper letters suggest newspaper hoax
BBC News, 1 February [>]

Jack the Ripper letter mystery solved by Manchester researcher
University of Manchester Press release, 29 January [>]
“I came across the Jack the Ripper letters a few years ago and I was surprised to know that there had not been any forensic linguistics analysis of them, so I thought that I could apply modern forensic linguistic techniques to uncover evidence about their author.”


Solving crime one word at a time. How forensic linguistics aids investigational and evidentiary cases
Forensic Magazine, September [>]
“This method is new, it’s something we tried and saw it worked very well for solving this particular problem.”

Continue reading “Press”