Multilingual Communication via Best-Balanced Machine Translation

Pituxcoosuvarn, Mondheera; Ishida, Toru

doi:10.1007/s00354-018-0041-7

Cited by 8 publications

(3 citation statements)

References 11 publications

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“…The use of machine translation in everyday communication and issues related thereof [5][6][7][8] constitute an emerging research area in the contemporary academic field of translation. Machine translation in everyday personal communication is usually applied while communicating with overseas relatives or traveling.…”

Section: Literature Overviewmentioning

confidence: 99%

Towards Sustainable Use of Machine Translation: Usability and Perceived Quality from the End-User Perspective

et al. 2021

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Artificial intelligence-grounded machine translation has fundamentally changed public awareness and attitudes towards multilingual communication. In some language pairs, the accuracy, quality and efficiency of machine-translated texts of certain types can be quite high. Hence, the end-user acceptability and reliance on machine-translated content could be justified. However, machine translation in small and/or low-resource languages might yield significantly lower quality, which in turn may lead to potentially negative consequences and risks if machine translation is used in high-risk contexts without awareness of the drawbacks, critical assessment and modifications to the raw output. The current study, which is part of a more extensive project focusing on the societal impact of machine translation, is aimed at revealing the attitudes towards usability and quality as perceived from the end-user perspective. The research questions addressed revolve around the machine translation types used, purposes of using machine translation, perceived quality of the generated output, and actions taken to improve the quality by users with various backgrounds. The research findings rely on a survey of the population (N = 402) conducted in 2021 in Lithuania. The study reveals the frequent use of machine translation for a diversity of purposes. The most common uses include work, research and studies, and household environments. A higher level of education correlates with user dissatisfaction with the generated quality and actions taken to improve it. The findings also reveal that age correlates with the use of machine translation. Sustainable measures to reduce machine translation related risks have to be established based on the perceptions of different social groups in different societies and cultures.

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Section: Literature Overviewmentioning

confidence: 99%

Towards Sustainable Use of Machine Translation: Usability and Perceived Quality from the End-User Perspective

et al. 2021

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“…As a common medium of communication, MT has been described as potentially more effective than lingua franca projects such as Basic English or Esperanto (Ramati & Pinchevski, 2018, p. 2562. A previous study that looked at this question empirically suggests that, subject to a selective use of MT and to participants' linguistic profile, MT-mediated multilingual communication outperforms the use of English (Pituxcoosuvarn & Ishida, 2018).…”

Section: Mt User Researchmentioning

confidence: 98%

Machine translation in society: insights from UK users

Vieira

O’Sullivan

Zhang

et al. 2022

Lang Resources & Evaluation

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Machine translation (MT) tools like Google Translate can overcome language barriers and increase access to information. These tools also carry risks, and their societal role remains understudied. This article investigates typical uses and perceptions of MT based on a survey of 1200 United Kingdom residents who were representative of the national population in terms of age, sex, and ethnicity. We highlight three main findings from our analysis. First, participants often used MT for non-essential purposes that rarely justified professional human translations. Second, while they were highly satisfied with MT they also expressed desires for higher MT quality. These desires were usually motivated by expectations of perfection rather than fitness for purpose. Third, participants’ future vision for MT involved increasingly blurred boundaries between text and speech. The article calls for more MT research on the interface between written and spoken communication and on the ethical implications of rare but significant high-risk uses of the technology.

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“…Some studies examine broader implications of MT for multilingualism and communication. So far these studies have focused on MT's algorithmic architecture (Ramati and Pinchevski 2018), on its use on Facebook (e.g., Hendus 2015), on specific MT tools (e.g., Nurminen and Papula 2018) or countries (Vieira et al 2022a;Yamada et al 2005), or on practical aspects of machine translated communication, for example how it compares to the use of English as a lingua franca (Pituxcoosuvarn and Ishida 2018; for earlier empirical studies, see Wahlster 2000).…”

Section: Research On Machine Translation and Societymentioning

confidence: 99%

The many guises of machine translation

Vieira

2023

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Machine translation (MT) tools are widely available. They may be present in different spaces in ways that consumers of the content do not necessarily control or realise, and research to date has paid little attention to these human-MT encounters. This article draws on the philosophy of technology literature to consider implications of MT’s permeating presence in online environments as well as in face-to-face interactions. The focus of the article is on two situations where humans can come across MT: while browsing websites and when speaking with figures of authority. The article highlights ways in which humans’ relationship with MT transcends conscious decisions to operate an MT tool directly. It argues that the human-MT relationship can also be one of immersion where MT blends with the environment in ways that, on the one hand, break language barriers but, on the other, influence, persuade, and on occasion misinform.

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Multilingual Communication via Best-Balanced Machine Translation

Cited by 8 publications

References 11 publications

Towards Sustainable Use of Machine Translation: Usability and Perceived Quality from the End-User Perspective

Towards Sustainable Use of Machine Translation: Usability and Perceived Quality from the End-User Perspective

Machine translation in society: insights from UK users

The many guises of machine translation

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