Pull out all the stops: Textual analysis via punctuation sequences
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Abstract (arXiv)
Whether enjoying the lucid prose of a favorite author or slogging through some other writer's cumbersome, heavy-set prattle (full of parentheses, em dashes, compound adjectives, and Oxford commas), readers will notice stylistic signatures not only in word choice and grammar, but also in punctuation itself. Indeed, visual sequences of punctuation from different authors produce marvelously different (and visually striking) sequences. Punctuation is a largely overlooked stylistic feature in "stylometry", the quantitative analysis of written text. In this paper, we examine punctuation sequences in a corpus of literary documents and ask the following questions: Are the properties of such sequences a distinctive feature of different authors? Is it possible to distinguish literary genres based on their punctuation sequences? Do the punctuation styles of authors evolve over time? Are we on to something interesting in trying to do stylometry without words, or are we full of sound and fury (signifying nothing)?
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 31 Dec 2018.
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Citing papers per year: 2023: 1; 2024: 1; 2025: 1; 2026: 1.
4 papers.
- 2023Authorship identification under domain shift: a survey of stylistic measures and learned author representationscited by 1
- 2025Towards Detecting Persuasion on Social Media: From Model Development to Insights on Persuasion Strategiescited by 1
- 2026Novels generated by language models show compressed formal variationcited by 1
- 2024Estimating the Influence of Sequentially Correlated Literary Properties in Textual Classification: A Data-Centric Hypothesis-Testing Approachcited by 0
- 2026Novels generated by language models show compressed formal variation12 Aug 2026
- 2025Towards Detecting Persuasion on Social Media: From Model Development to Insights on Persuasion Strategies18 Mar 2025
- 2024Estimating the Influence of Sequentially Correlated Literary Properties in Textual Classification: A Data-Centric Hypothesis-Testing Approach7 Nov 2024
- 2023Authorship identification under domain shift: a survey of stylistic measures and learned author representations30 Sep 2023