The Statistical Analysis of Style: Reflections on Form, Meaning, and Ideology in the 'Nausicaa' Episode of Ulysses

McKenna, Colleen; Antonia, Alexis

doi:10.1093/llc/16.4.353

Cited by 9 publications

(6 citation statements)

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“…Computer techniques also have an important contribution to make in situations where the volume of text to be processed precludes human evaluation. An example of stylistic analysis that appears to strike an excellence balance between computer and human analysis is McKenna and Antonia's (2001) analysis of Ulysses.…”

Section: Introductionmentioning

confidence: 99%

Ngram and Bayesian Classification of Documents for Topic and Authorship

Clement

Sharp

2003

Literary and Linguistic Computing

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Large, real world, data sets have been investigated in the context of Authorship Attribution of real world documents. Ngram measures can be used to accurately assign authorship for long documents such as novels. A number of 5 (authors) ϫ 5 (movies) arrays of movie reviews were acquired from the Internet Movie Database. Both ngram and naive Bayes classifiers were used to classify along both the authorship and topic (movie) axes. Both approaches yielded similar results, and authorship was as accurately detected, or more accurately detected, than topic. Part of speech tagging and function-word lists were used to investigate the influence of structure on classification tasks on documents with meaning removed but grammatical structure intact.

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Section: Introductionmentioning

confidence: 99%

Ngram and Bayesian Classification of Documents for Topic and Authorship

Clement

Sharp

2003

Literary and Linguistic Computing

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“…The alliterative phrases in Lolita remind us that we are in a novel not a law review article, whereas the absence of playful phrasing might indicate the converse. Word usage in Ulysses introduces shifts in meaning, 270 as could the rhythm of language. 271 Think of proverbial pregnant pauses during political speeches, or silences in a film-these are not meaningless gaps any more than John Cage's "4' 33" is a temporary window of nothing.…”

Section: ]mentioning

confidence: 99%

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Columbia Journal of Law & the Arts

2024

JLA

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This Article reveals the surprising role of patent law in shaping the literary genre of science fiction. Drawing on previously unpublished sources, the Article shows that Hugo Gernsbackthe so-called "father" of science fiction who started the first all-science-fiction magazine in 1926-believed that works of science fiction are analogous to patents. Like patents, science fiction stories can disclose useful information to the public about new inventions. Like patents, science fiction stories can influence future inventors and drive innovation. Gernsback went even further, positing that some of the inventions depicted in science fiction should themselves be patentable. In 1952, he urged Congress to reform the Patent Act to make so-called "Provisional Patents" available to science fiction authors who depicted major technological developments before their time. He argued that science fiction authors who filed for Provisional Patents should get an extra thirty years in which to show their invention worked. If they could do so, they would thereafter be able to obtain an ordinary patent, to last another twenty years.Many will find Gernsback's proposal deeply problematic from the perspective of patent policy, and rightly so. Granting patent rights too early in an invention's lifecycle creates new and unjustified opportunities to hold up innovation. A science fiction author who obtained a Provisional Patent for a theoretical invention could crawl out of the woodwork half a century

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“…Duggan (1973) developed statistical measures of formulaic style to determine whether the eleventhcentury epic poem Chanson de Roland manifests primarily an oral or a written style. Also related to our work, although it concerned a novel rather than a poem, is the paper by McKenna and Antonia (2001), who used principal component analysis of lexical frequency to discriminate different voices (dialogue, interior monologue, and narrative) and different narrative styles in sections of Ulysses by James Joyce.…”

Section: Related Workmentioning

confidence: 99%

Distinguishing Voices in The Waste Land using Computational Stylistics

Brooke

Hammond

Hirst

2015

LiLT

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T. S. Eliot’s poem The Waste Land is a notoriously challenging example of modernist poetry, mixing the independent viewpoints of over ten distinct characters without any clear demarcation of which voice is speaking when. In this work, we apply unsupervised techniques in computational stylistics to distinguish the particular styles of these voices, offering a computer’s perspective on longstanding debates in literary analysis. Our work includes a model for stylistic segmentation that looks for points of maximum stylistic variation, a k-means clustering model for detecting non-contiguous speech from the same voice, and a stylistic profiling approach which makes use of lexical resources built from a much larger collection of literary texts. Evaluating using an expert interpretation, we show clear progress in distinguishing the voices of The Waste Land as compared to appropriate baselines, and we also offer quantitative evidence both for and against that particular interpretation.

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The Statistical Analysis of Style: Reflections on Form, Meaning, and Ideology in the 'Nausicaa' Episode of Ulysses

Cited by 9 publications

References 0 publications

Ngram and Bayesian Classification of Documents for Topic and Authorship

Ngram and Bayesian Classification of Documents for Topic and Authorship

Full Issue

Distinguishing Voices in The Waste Land using Computational Stylistics

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