Relevant bibliographies by topics / Stylometric studies

Academic literature on the topic 'Stylometric studies'

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Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Stylometric studies"

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Van Hecke, Pierre. "Computational Stylometric Approach to the Dead Sea Scrolls." Dead Sea Discoveries 25, no. 1 (April 16, 2018): 57–82. http://dx.doi.org/10.1163/15685179-12341464.

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Abstract The question of how to classify the different texts of the Dead Sea Scrolls is a central issue in scholarship. There is little agreement or even little reflection, however, on the methodology with which these classifications should be made. This article argues that recent developments in computational stylometry address these methodological issues and that the approach therefore constitutes a necessary addition to existing scholarship. The first section briefly introduces the recent developments in computational stylometry, while the second tests the feasibility of a stylometric approach for research on the Scrolls. Taking into account the particular challenges of the corpus, an exploratory methodology is described, and its first results are presented. In the third and final section, directions for future research in the field are articulated.
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Drozdov, V. A. "The authorship of the poem ‘Ushshaq-nama from the prospect of academic orientalist studies and modern computer technologies." Orientalistica 3, no. 5 (December 29, 2020): 1360–78. http://dx.doi.org/10.31696/2618-7043-2020-3-5-1360-1378.

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The poem ‘Ushshaq-nama by Fakhr ad-Din ‘Iraqi (610–688 / 1213–1289) is the first poetical writing on the subject of mystical love in Persian literature. ‘Iraqi’s authorship of this work has never been questioned by researchers. However, the English orientalist J. Baldick 1973 cast a doubt on ‘Iraqi’s authorship of this poem. The article examines in detail the arguments of J. Baldick both from the point of view of the context of the creation of the poem, as well as the methods of the latest computational methods, in particular stylometry. Boldik's arguments concern both the historical and religious context in which ‘Iraqi lived and the peculiarities of his works, primarily the poem‘Ushshaq-name. The paper demonstrates that this computational method may be used for the study of the features of the style of Persian poetry and the confirmation of the authorship of doubtful Persian writings. Further expert decision full-field by Artjoms Šeļa based on stylometric methods for the establishment of the poem ‘Ushshaq- nama is expounded. While the results of the analysis of the historical and religious contexts of the poem may serve as confirmation of the authorship of ‘Iraqi and the refutation of the Baldick hypothesis, the results of the stylometric analysis do not give an unambiguous answer to the question of its authorship.
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Williams, David Salter. "Thackeray's Assistant Hypothesis: A Stylometric Evaluation." Journal of Jewish Studies 48, no. 2 (October 1, 1997): 262–75. http://dx.doi.org/10.18647/1997/jjs-1997.

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Pawłowski, Adam, and Artur Pacewicz. "Wincenty Lutosławski (1863–1954): Philosophe, helléniste ou fondateur sous-estimé de la stylométrie?" Historiographia Linguistica International Journal for the History of the Language Sciences 31, no. 2-3 (2004): 423–47. http://dx.doi.org/10.1075/hl.31.2-3.10paw.

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Stylometry is a branch of linguistics concerned with the quantitative description of stylistic proprieties of texts. In certain cases, it allows one to solve problems of authorship of disputed texts and to discover the probable chronology of works by a given author. An historical overview of stylometry demonstrates that there was no single scholar whose work could be considered decisive in its development. At the same time, perusal of studies devoted to the history of stylometry shows that their authors treat the available material selectively, preferring some scholars while wholly disregarding others. Wincenty Lutosławski (1863–1954) is a good example of a scholar forgotten (or underestimated) by contemporary researchers. However, it was he who coined the term ‘stylometry’ already at the end of the 19th century and defined the principles of this ‘new science’. This paper presents and discusses the following issues : the importance of chronology in the interpretation of Platonic philosophy, the definition and objectives of stylo­metry, the most important platonic chronologies, a description and evaluation of Lutosławski’s contribution to the development of stylometric methodology, and the origins of stylometry. Finally, we shall try to (re)determine Lutosławski’s position in the history of the language sciences.
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Wrisley, David Joseph. "Modeling the Transmission of al-Mubashshir Ibn Fātik’s Mukhtār al-Ḥikam in Medieval Europe: Some Initial Data-Driven Explorations." Journal of Religion, Media and Digital Culture 5, no. 1 (December 6, 2016): 228–57. http://dx.doi.org/10.1163/21659214-90000076.

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This article addresses the transmission of a mid-eleventh century Arabic compilation of Hellenic wisdom, al-Mubashshir Ibn Fātik’s Mukhtār al-Ḥikam wa-maḥāsin al-kalim, into medieval European languages. It documents new archival evidence for the scope of this textual tradition. The combination of digital textual and archival evidence provides important clues for building hypotheses for an expanded reception history of the Arabic text in Europe. Using corpora built in three languages—Castilian, Latin and French—it leverages stylometric analysis to explore the discursive communities in which the translations may have emerged and where they took on new meanings. The article puts medium-scale stylometry into practice in the field of comparative literature and translation studies for the exploration of large text collections, and suggests how quantitative methods could be deployed in translingual corpus-level literary research. It also argues for the use of stylometry at early stages of literary historical research to discover new paths of inquiry.
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Sadeghi, Behnam. "The Chronology of the Qurān: A Stylometric Research Program." Arabica 58, no. 3 (2011): 210–99. http://dx.doi.org/10.1163/157005810x529692.

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AbstractI verify a chronology in which seven groups of passages represent consecutive phases. A proposed chronology is verified if independent markers of style vary over its phases in a smooth fashion. Four markers of style follow smooth trajectories over the seven phases: The first is average verse length. The second encompasses the 28 most common morphemes in the Qurān. The percentages of these morphemes in a text constitute its stylistic profile. The thus-defined stylistic profile is shown to vary in a smooth fashion over “time”, i.e. over the proposed chronological sequence of phases. Third, a similar thing holds for a profile based on the frequencies of 114 other common morphemes. Fourth, similar results are obtained for a list of 3693 relatively uncommon morphemes. In addition to establishing a relative chronology in seven phases, this essay demonstrates the stylistic unity of many large passages. It also shows that the Qurān has one author.
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Kilpatrick, G. D., and Anthony Kenny. "A Stylometric Study of the New Testament." Novum Testamentum 30, no. 4 (October 1988): 373. http://dx.doi.org/10.2307/1560626.

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Ladouceur, David J. "Stylometric Authorship Studies in Flavius Josephus and Related Literature (review)." Shofar: An Interdisciplinary Journal of Jewish Studies 11, no. 4 (1993): 124–26. http://dx.doi.org/10.1353/sho.1993.0002.

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Kestemont, Mike. "Stylometric Authorship Attribution for the Middle Dutch Mystical Tradition from Groenendaal." Dutch Crossing 42, no. 3 (November 8, 2016): 203–37. http://dx.doi.org/10.1080/03096564.2016.1252077.

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Nasser Alsager, Haroon. "Towards a Stylometric Authorship Recognition Model for the Social Media Texts in Arabic." Arab World English Journal 11, no. 4 (December 15, 2020): 490–507. http://dx.doi.org/10.24093/awej/vol11no4.31.

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Numerous studies have been concerned with developing new authorship recognition systems to address the increasing rates of cybercrimes associated with the anonymous nature of social media platforms, which still offer the opportunity for the users not to reveal their true identities. Nevertheless, it is still challenging to identify the real authors of social media’s offensive and inappropriate content. These contents are usually very short; therefore, it is challenging for stylometric authorship systems to assign controversial texts to their real authors based on the salient and distinctive linguistic features and patterns within these contents. This research introduces a new stylometric authorship system that considers both the shortness of data and the peculiar linguistic properties of Arabic. A corpus of 20, 357 tweets from 134 Twitter users. A document clustering based on Document Index Graph (DIG) model was used to classify input patterns in the tweets that shared common linguistic features. A comparative analysis using Vector Space Clustering (VSC) model based on the Bag of Words (BOW) model, conventionally used in authorship recognition applications, was used. Results indicate that the proposed system is more accurate than other standard authorship systems mainly based on vector space clustering methods. It was also clear that the model had the advantage of providing complete information about the documents and the degree of overlap between every pair of documents, which was useful in determining the similarity between documents.
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Dissertations / Theses on the topic "Stylometric studies"

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Gopalakrishnan, Sridharan. "Authorship Attribution based on Grammar Signatures." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1368026620.

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Zhao, Ying, and ying zhao@rmit edu au. "Effective Authorship Attribution in Large Document Collections." RMIT University. Computer Science and Information Technology, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080730.162501.

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Techniques that can effectively identify authors of texts are of great importance in scenarios such as detecting plagiarism, and identifying a source of information. A range of attribution approaches has been proposed in recent years, but none of these are particularly satisfactory; some of them are ad hoc and most have defects in terms of scalability, effectiveness, and computational cost. Good test collections are critical for evaluation of authorship attribution (AA) techniques. However, there are no standard benchmarks available in this area; it is almost always the case that researchers have their own test collections. Furthermore, collections that have been explored in AA are usually small, and thus whether the existing approaches are reliable or scalable is unclear. We develop several AA collections that are substantially larger than those in literature; machine learning methods are used to establish the value of using such corpora in AA. The results, also used as baseline results in this thesis, show that the developed text collections can be used as standard benchmarks, and are able to clearly distinguish between different approaches. One of the major contributions is that we propose use of the Kullback-Leibler divergence, a measure of how different two distributions are, to identify authors based on elements of writing style. The results show that our approach is at least as effective as, if not always better than, the best existing attribution methods-that is, support vector machines-for two-class AA, and is superior for multi-class AA. Moreover our proposed method has much lower computational cost and is cheaper to train. Style markers are the key elements of style analysis. We explore several approaches to tokenising documents to extract style markers, examining which marker type works the best. We also propose three systems that boost the AA performance by combining evidence from various marker types, motivated from the observation that there is no one type of marker that can satisfy all AA scenarios. To address the scalability of AA, we propose the novel task of authorship search (AS), inspired by document search and intended for large document collections. Our results show that AS is reasonably effective to find documents by a particular author, even within a collection consisting of half a million documents. Beyond search, we also propose the AS-based method to identify authorship. Our method is substantially more scalable than any method published in prior AA research, in terms of the collection size and the number of candidate authors; the discrimination is scaled up to several hundred authors.
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Michell, Colin Simon. "Investigating the use of forensic stylistic and stylometric techniques in the analyses of authorship on a publicly accessible social networking site (Facebook)." Diss., 2013. http://hdl.handle.net/10500/13324.

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This research study examines the forensic application of a selection of stylistic and stylometric techniques in a simulated authorship attribution case involving texts on the social networking site, Facebook. Eight participants each submitted 2,000 words of self-authored text from their personal Facebook messages, and one of them submitted an extra 2,000 words to act as the ‘disputed text’. The texts were analysed in terms of the first 1,000 words received and then at the 2,000-word level to determine what effect text length has on the effectiveness of the chosen style markers (keywords, function words, most frequently occurring words, punctuation, use of digitally mediated communication features and spelling). It was found that despite accurately identifying the author of the disputed text at the 1,000-word level, the results were not entirely conclusive but at the 2,000-word level the results were more promising, with certain style markers being particularly effective.
Linguistics
MA (Linguistics)
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Books on the topic "Stylometric studies"

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Williams, David S. Stylometric authorship studies in Flavius Josephus and related literature. Lewiston: E. Mellen Press, 1992.

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Book chapters on the topic "Stylometric studies"

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Abramov, Polina Shafran, and Roman V. Yampolskiy. "Automatic IQ Estimation Using Stylometric Methods." In Handbook of Research on Learning in the Age of Transhumanism, 32–45. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8431-5.ch004.

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Stylometry is a study of text linguistic properties that brings together various fields of research such as statistics, linguistics, computer science and more. Stylometry methods have been used for historic investigation, as forensic evidence and an educational tool. This chapter presents a method to automatically estimate individual's IQ based on quality of writing and discusses challenges associated with it. The method utilizes various text features and NLP techniques to calculate indexes which are used to estimate individual's IQ. The results show a high degree of correlation between expected and estimated IQs in cases when IQ is within the average range. Obtaining good estimation for IQs on the high and low ends of the spectrum proves to be more challenging and this work offers several reasons for that. Over the years stylometry benefitted from wide exposure and interest among researches, however it appears that there aren't studies that focus on using stylometry methods to estimate individual's intelligence. Perhaps this work presents the first in-depth attempt to do so.
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Hockey, Susan. "Stylometry and Attribution Studies." In Electronic Texts in the Humanities, 104–23. Oxford University Press, 2000. http://dx.doi.org/10.1093/acprof:oso/9780198711940.003.0007.

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Langford, Malcolm, Daniel Behn, and Runar Lie. "Computational stylometry: predicting the authorship of investment arbitration awards." In Computational Legal Studies, 53–76. Edward Elgar Publishing, 2020. http://dx.doi.org/10.4337/9781788977456.00008.

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Conference papers on the topic "Stylometric studies"

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Moreno-Jiménez, Luis-Gil, and Juan-Manuel Torres-Moreno. "Megalite: A New Spanish Literature Corpus for NLP Tasks." In 8th International Conference on Artificial Intelligence and Applications (AIAP 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110109.

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In this work we introduce the Spanish Literary corpus MegaLite, a new corpus well adapted to Natural Language Processing (NLP), Computational Creativity (CC), Text generation and others studies. We address the creation of this corpus of literary documents to evaluate or design algorithms in automatic text generation, classification, stylometry and rhetorical analysis, sentiment detection, among other tasks. We have constituted this corpus manually in order to avoir genre classification errors. Near of 5 200 works on the genres narrative, poetry and plays constitute this corpus. Some statistics and applications of MegaLite corpus are presented and discussed. The MegaLite corpus will be available to the community as a free resource, under several adequate formats.
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