{"title":"Creativity in translation","authors":"Ana Guerberof-Arenas, Antonio Toral","doi":"10.1075/ts.21025.gue","DOIUrl":null,"url":null,"abstract":"\nThis article presents the results of a study involving the translation of a short story by Kurt Vonnegut from English to Catalan and Dutch using three modalities: machine-translation (MT), post-editing (PE) and translation without aid (HT). Our aim is to explore creativity, understood to involve novelty and acceptability, from a quantitative perspective. The results show that HT has the highest creativity score, followed by PE, and lastly, MT, and this is unanimous from all reviewers. A neural MT system trained on literary data does not currently have the necessary capabilities for a creative translation; it renders literal solutions to translation problems. More importantly, using MT to post-edit raw output constrains the creativity of translators, resulting in a poorer translation often not fit for publication, according to experts.","PeriodicalId":43764,"journal":{"name":"Translation Spaces","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translation Spaces","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1075/ts.21025.gue","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
引用次数: 16
Abstract
This article presents the results of a study involving the translation of a short story by Kurt Vonnegut from English to Catalan and Dutch using three modalities: machine-translation (MT), post-editing (PE) and translation without aid (HT). Our aim is to explore creativity, understood to involve novelty and acceptability, from a quantitative perspective. The results show that HT has the highest creativity score, followed by PE, and lastly, MT, and this is unanimous from all reviewers. A neural MT system trained on literary data does not currently have the necessary capabilities for a creative translation; it renders literal solutions to translation problems. More importantly, using MT to post-edit raw output constrains the creativity of translators, resulting in a poorer translation often not fit for publication, according to experts.
期刊介绍:
Translation Spaces is a biannual, peer-reviewed, indexed journal that recognizes the global impact of translation. It envisions translation as multi-dimensional phenomena productively studied (from) within complex spaces of encounter between knowledge, values, beliefs, and practices. These translation spaces -virtual and physical- are multidisciplinary, multimedia, and multilingual. They are the frontiers being explored by scholars investigating where and how translation practice and theory interact most dramatically with the evolving landscape of contemporary globalization.