Sentence examples for authorship attribution from inspiring English sources

The phrase "authorship attribution" is correct and usable in written English.
It is typically used in contexts related to identifying the author of a text or work, often in literary studies, forensic linguistics, or digital humanities.
Example: "The study of authorship attribution has become increasingly important in the analysis of anonymous texts."
Alternatives: "author identification" or "authorship identification".

Exact(36)

Note that this is different from the authorship attribution problem.

Grieve, J. Quantitative authorship attribution: an evaluation of techniques.

Koppel, M., Schler, J. & Argamon, S. Computational methods in authorship attribution.

Motivated by this discovery, we propose a layered Onion Approach for Binary Authorship Attribution called OBA2.

García, A. M. & Martín, J. C. Function words in authorship attribution studies.

Not all character n-grams are created equal: a study in authorship attribution.

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Similar(24)

Joseph Rudman, a professor of applied statistics at Carnegie Mellon, agrees that even the best authorship-attribution studies could yield only probabilities.

Authorship and attribution do matter, because they tell us about how art, and an individual's art develops.

While there is no prescriptive way that departments are required to train their graduate students, all discipline-specific courses educate students on data acquisition, treatment, and management; authorship and attribution; and research misconduct and academic fraud.

Gopnik relates the case to claims of forgery made against Rembrandt, and offers this alternative view of authorship and attribution: A great artist is not, as a lot of people seem to think, a kind of burglar who leaves his fingerprints on luxury goods, but a poet, who creates a style so distinctive that poems in the style are his even when they're not.

Such opinions and affect state can serve as additional important features that are helpful for attributing authorship of text when attribution is difficult.

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