• search hit 8 of 14
Back to Result List

Towards the Creation of a Poetry Translation Mapping System

  • The translation of poetry is a complex, multifaceted challenge: the translated text should communicate the same meaning, similar metaphoric expressions, and also match the style and prosody of the original poem. Research on machine poetry translation is existing since 2010, but for four reasons it is still rather insufficient: 1. The few approaches existing completely lack any knowledge about current developments in both lyric theory and translation theory. 2. They are based on very small datasets. 3. They mostly ignored the neural learning approach that superseded the long-standing dominance of phrase-based approaches within machine translation. 4. They have no concept concerning the pragmatic function of their research and the resulting tools. Our paper describes how to improve the existing research and technology for poetry translations in exactly these four points. With regards to 1) we will describe the “Poetics of Translation”. With regards to 2) we will introduce the Worlds largest corpus for poetry translations from lyrikline. With regards to 3) we will describe first steps towards a neural machine translation of poetry. With regards to 4) we will describe first steps towards the development of a poetry translation mapping system.

Export metadata

Additional Services

Share in Twitter Search Google Scholar Statistics
Metadaten
Author:Burkhard Meyer-SickendiekORCiD, Hussein Hussein, Timo BaumannORCiDGND
DOI:https://doi.org/10.5445/KSP/1000087327/21
ISSN:2363-9881
Parent Title (English):Archives of Data Science, Series A
Publisher:Towards the Creation of a Poetry Translation Mapping System
Document Type:Article
Language:English
Year of first Publication:2018
Release Date:2022/06/24
Volume:5
Issue:1
First Page:1
Last Page:15
Institutes:Fakultät Informatik und Mathematik
Begutachtungsstatus:peer-reviewed
Publication:Externe Publikationen
OpenAccess Publikationsweg:Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium
research focus:Information und Kommunikation
Licence (German):Creative Commons - CC BY-SA - Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International