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The author’s fingerprint. A computerised attribution method

Methods borrowed from Information Theory are applied to the traditional text criticism. A critique of the raw cladistic methods and an interpretation of the dichotomy-phenomenon are offered. The same methods are applied to 13th century Italian poetry to determine authorship attributions and to verify commonly accepted literary taxonomy. Philology is a human science primarily applied to literary te…

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Contributors

  • M. Ramazzotti (ed.)

Creator

  • Canettieri, P.

Publisher

  • Edizioni All'Insegna del Giglio

Subject

  • Theoretical and methodological problems
  • Simulation AI
  • Field archaeology
  • artificial intelligence
  • Computer Science
  • field archaeology
  • Artificial intelligence

Type of item

  • articles

Date

  • 2014-01-01
  • 2014-01-01

Contributors

  • M. Ramazzotti (ed.)

Creator

  • Canettieri, P.

Publisher

  • Edizioni All'Insegna del Giglio

Subject

  • Theoretical and methodological problems
  • Simulation AI
  • Field archaeology
  • artificial intelligence
  • Computer Science
  • field archaeology
  • Artificial intelligence

Type of item

  • articles

Date

  • 2014-01-01
  • 2014-01-01

Providing institution

  • The Institute of Heritage Sciences

Aggregator

  • MUSEU

Intermediate provider

  • Central Institute for the Union Catalogue of Italian Libraries

Rights statement for the media in this item (unless otherwise specified)

  • http://creativecommons.org/licenses/by-nc-sa/4.0/

Temporal

  • https://www.wikidata.org/wiki/Q6939
  • 21st century

Places

  • http://sws.geonames.org/3169070/

Identifier

  • A_C_oai_Archive_sup.xml:807
  • A_C_oai_Archive_sup.xml_807

Extent

  • pp. 191-202

Language

  • en
  • eng

Is part of

  • Europeana Archaeology
  • ARCHEOSEMA. Artificial Adaptive Systems for the Analysis of Complex Phenomena. Collected Papers in Honour of David Leonard Clarke

Providing country

  • Italy

Collection name

  • 224_Museu_CNR

First time published on Europeana

  • 2020-05-22T18:45:13.398Z

Last time updated from providing institution

  • 2020-05-22T18:45:13.398Z
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