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 language | English |
|---|---|
| Title of host publication | Traducción y sostenibilidad cultural II |
| Subtitle of host publication | retos y nuevos escenarios |
| Editors | Sara García Fernández, Fátima Gómez-Cáneba, Beatrice Guerrero García, Francesca Placidi, Margarita Savchenkova, Susana Schoer-Granado |
| Place of Publication | Salamanca |
| Publisher | Universidad de Salamanca |
| Pages | 641-649 |
| Number of pages | 9 |
| ISBN (Print) | 9788410910171 |
| DOIs | |
| Publication status | Published - 15 Feb 2025 |
| Event | 2nd International Conference Translation and Cultural Sustainability: Challenges and New Avenues - Salamanca, Spain Duration: 17 Apr 2024 → 19 Apr 2024 https://traduccioneinterpretacion.org/en/conference2024/ |
Conference
| Conference | 2nd International Conference Translation and Cultural Sustainability |
|---|---|
| Country/Territory | Spain |
| City | Salamanca |
| Period | 17/04/24 → 19/04/24 |
| Internet address |
Keywords
- poetry translation
- Leopardi
- machine translation
- traducción de poesía
- traducción automática
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