Social groups in machine translationpost-editing

Sakamoto, Akiko; Yamada, Masaru

doi:10.1075/ts.00022.sak

Cited by 10 publications

(3 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, in a broad sense, the usability, quality and user satisfaction with end machine translation and the impact it has on society belong to a research field that comes into focus and deserves a deeper analysis. Therefore, it is essential to create sustainable measures in order to reduce risks associated with the misuse of machine translation [33,34] and ensure that machine translation is developed and used in a sustainable manner.…”

Section: Literature Overviewmentioning

confidence: 99%

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

et al. 2021

View full text Add to dashboard Cite

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.

show abstract

Section: Literature Overviewmentioning

confidence: 99%

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

et al. 2021

View full text Add to dashboard Cite

show abstract

“…On the other hand, an outbound translation approach would compel partial or even full MTPE, depending on the quality of the translated output and the final use of the text. Actual implementations of these principles, both in the translation industry and in experimental settings for research purposes, usually take MTPE guidelines for granted and only mention them in passing (see, for instance, Carl et al 2011;Koglin and Cuhna 2019;Koponen 2016;Lacruz and Shreve 2014;Sakamoto and Yamada 2020).…”

Section: The Challenge In Defining Mtpe Guidelinesmentioning

confidence: 99%

Re-thinking Machine Translation Post-Editing Guidelines

Rico Pérez

2024

JoSTrans

View full text Add to dashboard Cite

Machine Translation Post-Editing (MTPE) is a challenging task. It frequently creates tension between what the industry expects in terms of quality and what translators are willing to deliver as an end product. Conventional approaches to MTPE take as a point of departure the distinction between light and full MPTE, but the division gets blurred when implemented in an actual MTPE project where translators find difficulties in differentiating between essential and preferential changes. At the time MTPE guidelines were designed, the role of the human translator in the MT process was perceived as ancillary, a view inherited from the first days of MT research aiming at the so-called Fully Automatic High Quality Machine Translation (FAHQMT). My proposal challenges the traditional division of MTPE levels and presents a new way of looking at MTPE guidelines. In view of the latest developments in neural machine translation and the higher quality level of its output, it is my contention that the traditional division of MTPE levels is no longer valid. In this contribution I advance a proposal for redefining MTPE guidelines in the framework of an ecosystem specifically designed for this purpose.

show abstract

“…However, a significant part of these studies has investigated the technical side of the subject (Moorkens 2012;Moorkens, O'Brien 2013, Temizöz 2016, and much of the research examining translators' approaches to the subject under question has been descriptive in nature (Arenas 2013;Pérez 2020;Levanaitė 2021;Cadwell, O'Brien and Teixeira 2017;Vieira 2020). Few researchers have been able to draw on any sociological study into the opinions and attitudes of translators towards post-editing (Sakamoto 2019;Sakamoto & Yamada 2020;Pym & Simon 2021). The study of Akiko Sakamoto entitled "Why do many translators resist post-editing?…”

Section: Introductionmentioning

confidence: 99%

The Attitudes of Technical Translators in Turkiye Towards Post-Editing

Seçkin¹

2022

jts

View full text Add to dashboard Cite

Today, the translation industry is moving towards a new dimension with the effect of technological developments. One extension of these developments is the artificial intelligence-based machine translation. This innovation, especially with the concept of post-editing, has completely changed the traditional understanding of translation and offered translators new roles such as posteditors. This study aims to examine the attitudes of technical translators in Turkey towards post-editing with an approach based on sociology of translation. In this regard, "habitus" and "interest", the key concepts of French sociologist Pierre Bourdieu, constitute the theoretical framework of the study. The reason technical translators are chosen as the research object is that machine translation offers very successful outputs in technical translation. The study concludes that technical translators in Turkey have a positive attitude towards post-editing as they are satisfied with the economic gains they have obtained from the field and have succeeded in adapting to the changing system with their habitus suitable for the needs of the field. Data collection was carried out using a questionnaire consisting of 13 open-ended questions. Since the study was conducted with a group of 10 participants from 3 different companies, additional empirical studies are required to support the findings.

show abstract

Social groups in machine translationpost-editing

Cited by 10 publications

References 23 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

Re-thinking Machine Translation Post-Editing Guidelines

The Attitudes of Technical Translators in Turkiye Towards Post-Editing

Contact Info

Product

Resources

About