Automation anxiety and translators

Vieira, Lucas Nunes

doi:10.1080/14781700.2018.1543613

Cited by 53 publications

(25 citation statements)

References 24 publications

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“…Moorkens and O'Brien 2015;Läubli and Orrego-Carmona 2017). This can be associated with MT's unsuitability for certain tasks (Cadwell et al 2017) as well as with broader issues linked to the economy and the structure of the translation industry (Vieira 2020).…”

Section: Review Of Literaturementioning

confidence: 99%

Machine translation in the news

Vieira

2020

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Machine translation (MT) is now firmly in the public eye. The media can reflect and influence the public perception of MT and, by extension, of translation itself, but the news coverage of MT has to date remained largely unexplored. This study draws on the news framing literature to present an analysis of how MT is described in the written press. Based on a sample of 284 MT-focused newspaper articles, the news reporting on MT was found to be significantly more positive than negative. This positive framing was unrelated to the launch of neural MT. Furthermore, the portrayal of MT in the press tended to lack nuance, with few instances that raised awareness of the technology’s use implications. The study calls for higher standards in the public discussion and promotion of MT and for more research on non-professional conceptualisations of translation technologies and their role in communication.

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Section: Review Of Literaturementioning

confidence: 99%

Machine translation in the news

Vieira

2020

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“…This implies situations where MT use is not inherent to the commission, which is a different context from the one discussed here, where MT use was for the most part an open requirement or request. 2 Previous research by one of the present authors has found that negative attitudes to MT in professional communities are usually more directly linked to business issues and the technology's impact on the market rather than to the notion that MT may outperform human translators (Vieira, 2018). Importantly, this places emphasis on the practices that surround MT use rather than on MT itself as a focus of discussion, a standpoint that serves as backdrop for the work presented here.…”

Section: Previous Research On Attitudes To Mtmentioning

confidence: 83%

Translating perceptions and managing expectations: an analysis of management and production perspectives on machine translation

Vieira

Jiménez

2019

Perspectives

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The use of machine translation (MT) in professional translation tasks can change not only how translators work, but also how projects are managed and the expectations they entail across translation supply chains. Previous research has looked extensively into translators' attitudes to MT but has often ignored important aspects of how translators' views interact with those of other language industry stakeholders. This article presents a contrastive analysis of attitudes to MT which covers management and production perspectives. The discussion draws on semi-structured interviews which were thematically coded and qualitatively examined. The study shows how MT adds uncertainty to translation production networks. It argues that the challenges posed by MT are exacerbated by how the current makeup of the language industry restricts translators' field of influence to texts while possibly alienating them from wider aspects of business strategy. The article makes two suggestions. First, it calls for increased translator involvement in the management aspects of service provision. Second, it emphasises the need for a deeper discussion of MT which, rather than framing the technology itself as a potential 'threat', addresses broader societal issues involving misguided perceptions and mismatched expectations. ARTICLE HISTORY

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“…The hype about neural MT (NMT) (Castilho et al 2017) has brought existential angst to the fore for translators (Vieira 2018). On the face of it, the large and growing amounts of translation required should mean that both human and machine translation have a strong outlook.…”

Section: Ai and The Future Of Translation Work: Machine Translation And Human Wisdommentioning

confidence: 99%

Ethics in the translation industry

Moorkens¹,

Rocchi²

2020

The Routledge Handbook of Translation and Ethics

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This chapter considers ethical issues related to the contemporary translation industry, about which little, to our knowledge, has previously been written to date. Many publications concerning ethics in translation have theorised on whether the translator should be constrained by fidelity to the source text or should be permitted to refuse to translate material that they consider unethical (Chesterman 1997; Van Wyke 2012), or on how translators negotiate a liminal space between cultures (Pym 2012) without consideration of the ethical issues related to the translation industry and the way it relates to its main stakeholders. Tymoczko (2007) and Abdallah (2010) on asymmetries of power and Drugan's (2017) consideration of social responsibility and responsibility to clients, which harks back to a discussion of ethical dimensions of functionalism by Nord (1997) and the need to balance fidelity to the source, target, and facilitation of intercultural communication. Exceptions include work byIn this chapter, we focus on ethical concerns experienced by (and directed at) different stakeholders in the translation industry at various levels in translation production. These stakeholders' responsibilities and priorities may differ depending on the organisation's size,

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Automation anxiety and translators

Cited by 53 publications

References 24 publications

Machine translation in the news

Machine translation in the news

Translating perceptions and managing expectations: an analysis of management and production perspectives on machine translation

Ethics in the translation industry

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