Consonance as a Stylistic Feature for Authorship Attribution of Historical Texts

We present an investigation of the usefulness of consonance as a stylistic feature for author attribution of historical texts. We describe an algorithm for extracting consonance from written text and a set of experiments using different classifiers to explore the accuracy of consonance-based attribution on a set of 18th-century documents and a collection of 19th-century literary works.

[1]  Robert Matthews,et al.  Connection strength from input Connection strength from hidden node i to hidden node j node j to output node k Discriminator , 2005 .

[2]  J. Burrows,et al.  A Second Opinion on “Shakespeare and Authorship Studies in the Twenty-First Century” , 2012 .

[3]  M. W. A. Smith,et al.  An investigation of Morton's method to distinguish Elizabethan playwrights , 1985, Comput. Humanit..

[4]  MacDonald P. Jackson,et al.  Determining the Shakespeare Canon: Arden of Faversham and A Lover's Complaint , 2014 .

[5]  Teresa Gonçalves,et al.  Age and Gender Identification using Stacking for Classification , 2016, CLEF.

[6]  S. Fienberg,et al.  Inference and Disputed Authorship: The Federalist , 1966 .

[7]  José Nilo G. Binongo,et al.  Who Wrote the 15th Book of Oz? An Application of Multivariate Analysis to Authorship Attribution , 2003 .

[8]  Lubomir Ivanov.  Learning Patterns of Assonance for Authorship Attribution of Historical Texts , 2019, FLAIRS Conference.

[9]  Ian H. Witten,et al.  The WEKA data mining software: an update , 2009, SKDD.

[10]  George M. Mohay,et al.  Mining e-mail content for author identification forensics , 2001, SGMD.

[11]  Lubomir Ivanov,et al.  Lexical Stress-Based Authorship Attribution with Accurate Pronunciation Patterns Selection , 2018, TSD.

[12]  A. Q. Morton.  The Authorship of Greek Prose , 1965 .

[13]  Lubomir Ivanov,et al.  Using Lexical Stress in Authorship Attribution of Historical Texts , 2015, TSD.

[14]  Computer Analysis of Alliteration in Beowulf Using Distinctive Feature Theory , 1991 .

[15]  David L. Hoover.  Authorship Attribution Variables and Victorian Drama: Words, Word-Ngrams, and Character-Ngrams , 2018, DH.

[16]  J. Burrows.  Computation into criticism : a study of Jane Austen's novels and an experiment in method , 1987 .

[17]  Lubomir Ivanov,et al.  Using Alliteration in Authorship Attribution of Historical Texts , 2016, TSD.

[18]  Patrick Juola,et al.  JGAAP: A System for Comparative Evaluation of Authorship Attribution , 2009 .

[19]  Lubomir Ivanov,et al.  Examining the Thomas Paine Corpus: Automated Computer Authorship Attribution Methodology Applied to Thomas Paine’s Writings , 2016 .

[20]  Dekai Wu,et al.  Unsupervised Rhyme Scheme Identification in Hip Hop Lyrics Using Hidden Markov Models , 2013, SLSP.

[21]  Yiming Yang,et al.  RCV1: A New Benchmark Collection for Text Categorization Research , 2004, J. Mach. Learn. Res..

[22]  E. Kotzé.  Author identification from opposing perspectives in forensic linguistics , 2010 .

[23]  Efstathios Stamatatos.  A survey of modern authorship attribution methods , 2009 .

[24]  Lubomir Ivanov,et al.  Attribution of 18th Century Political Writings Using Machine Learning , 2015 .

[25]  Hsinchun Chen,et al.  Applying authorship analysis to extremist-group Web forum messages , 2005, IEEE Intelligent Systems.

[26]  Efstathios Stamatatos,et al.  Authorship Verification: A Review of Recent Advances , 2016, Res. Comput. Sci..