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Poetic Machine Translation: An Oxymoron? The Case of Giacomo Leopardi into English

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Despite the growing interest in AI, poetic machine translation remains a less explored area. Against this backdrop, this paper offers a quality assessment of automatic poetry translation on the Italian-English language pair. It uses a selection of poems by the 19th-century poet Giacomo Leopardi as a case study and compares the outputs produced by three freely accessible MT systems (Google, DeepL, Yandex) to determine which tool better performs with poetry and which are the linguistic areas calling for improvement. This paper does not suggest that AI should be used to translate poetry but rather demonstrates that, due to its stylistic and semantic complexities, poetic language can be used as a tool to improve MT efficiency. It concludes with some considerations on the impact that poetic machine translation may have on authorial representation.
Original languageEnglish
Title of host publicationTraducción y sostenibilidad cultural II
Subtitle of host publicationretos y nuevos escenarios
EditorsSara García Fernández, Fátima Gómez-Cáneba, Beatrice Guerrero García, Francesca Placidi, Margarita Savchenkova, Susana Schoer-Granado
Place of PublicationSalamanca
PublisherUniversidad de Salamanca
Pages641-649
Number of pages9
ISBN (Print)9788410910171
DOIs
Publication statusPublished - 15 Feb 2025
Event2nd International Conference
Translation and Cultural Sustainability: Challenges and New Avenues
- Salamanca, Spain
Duration: 17 Apr 202419 Apr 2024
https://traduccioneinterpretacion.org/en/conference2024/

Conference

Conference2nd International Conference
Translation and Cultural Sustainability
Country/TerritorySpain
CitySalamanca
Period17/04/2419/04/24
Internet address

Keywords

  • poetry translation
  • Leopardi
  • machine translation
  • traducción de poesía
  • traducción automática

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