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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 21 – 30 of 30 21 Another perspective on vocabulary richness Hoover, David L. In: Computers and the humanities. - Dordrecht [u.a.] : Kluwer 37 (2003) 2, 151-178 BLLDB Show details 22 Frequent Collocations and Authorial Style Hoover, David L.. - : Oxford University Press, 2003 BASE Show details 23 Multivariate Analysis and the Study of Style Variation Hoover, David L.. - : Oxford University Press, 2003 BASE Show details 24 Book Reviews - Language and Style in The Inheritors Hoover, David L.; Short, Mick In: Language and literature. - London : Sage 11 (2002) 2, 177-179 OLC Linguistik Show details 25 Frequent word sequences and statistical stylistics Hoover, David L. In: Literary & linguistic computing. - Oxford : Oxford Univ. Press 17 (2002) 2, 157-180 BLLDB Show details 26 Frequent Word Sequences and Statistical Stylistics Hoover, David L.. - : Oxford University Press, 2002 Abstract: This paper investigates the relative effectiveness and accuracy of multivariate analysis, specifically cluster analysis, of the frequencies of very frequent words and the frequencies of very frequent word sequences in distinguishing texts by different authors and grouping texts by a single author. Cluster analyses based on frequent words are fairly accurate for groups of texts by known authors, whether the texts are long sections of modern British and US novels or shorter sections of contemporary literary critical texts, but they are only rarely completely accurate. When frequent word sequences are used instead of frequent words or in addition to them, however, the accuracy of the analyses often improves, sometimes dramatically, especially when personal pronouns are eliminated. Analyses based on frequent sequences even provide completely correct results in some cases where analyses based on frequent words fail. They also produce superior results for small groups of problematic novels and critical texts extracted from the larger corpora. Such successes suggest that analyses based on frequent word sequences constitute improved tools for authorship and stylistic studies. Keyword: Articles URL: https://doi.org/10.1093/llc/17.2.157 http://llc.oxfordjournals.org/cgi/content/short/17/2/157 BASE Hide details 27 Statistical stylistics and authorship attribution : an empirical investigation Hoover, David L. In: Literary & linguistic computing. - Oxford : Oxford Univ. Press 16 (2001) 4, 421-444 BLLDB Show details 28 Statistical Stylistics and Authorship Attribution: An Empirical Investigation Hoover, David L. In: Literary & linguistic computing. - Oxford : Oxford Univ. Press 16 (2001) 4, 421-444 OLC Linguistik Show details 29 Statistical Stylistics and Authorship Attribution: an Empirical Investigation Hoover, David L.. - : Oxford University Press, 2001 BASE Show details 30 Digital Humanities 2010 1 Teasing Out Authorship and Style with T-tests and Hoover David L In: http://dh2010.cch.kcl.ac.uk/academic-programme/abstracts/papers/pdf/ab-658.pdf BASE Show details Page: 1 2

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