Machine Translation Usage in a Children’s Workshop

Pituxcoosuvarn, Mondheera; Ishida, Toru; Yamashita, Naomi; Takasaki, Toshiyuki; Mori, Yosai

doi:10.1007/978-3-319-98743-9_5

Cited by 15 publications

(8 citation statements)

References 13 publications

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“…Some studies, including the above, attempted to find factors that influence communication via machine translation. In addition to language pairs (Ogura et al, 2005;Pituxcoosuvarn et al, 2018;Taira et al, 2021) we mentioned above, factors such as cultural differences (Hill et al, 2022;Pituxcoosuvarn et al, 2018) and proficiency in using translation devices (Hill et al, 2022) have been discussed as some factors that influence communication. Furthermore, Yamashita et al (2009) and Yasuoka and Bjørn (2011) discussed the importance of building a common ground for mutual understanding in communication via machine translation.…”

Section: Telecommunication Via Text-based Machine Translationmentioning

confidence: 99%

“…Furthermore, Yamashita et al (2009) and Yasuoka and Bjørn (2011) discussed the importance of building a common ground for mutual understanding in communication via machine translation. In another study observing children (Pituxcoosuvarn et al, 2018), when there were obstacles to communication via machine translation, the participants showed behaviors to facilitate understanding by using common tools such as a common language (English), gestures, and pictures that they knew each other. Thus, it has been suggested that using a common ground influences communication positively when the user uses it to overcome barriers such as mistranslation.…”

Section: Telecommunication Via Text-based Machine Translationmentioning

confidence: 99%

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The Characteristics of Face-to-Face Communication Using Consecutive Speech Machine Translation Technology

Hatano

2024

BCT

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The growing role of technology in society, particularly machine translation, has grown due to its enhanced accuracy. Yet, communication quality depends not only on translation precision but also on user factors. It is vital to understand communication characteristics when using machine translation for its future application in daily life, business, and education. This study investigates these characteristics in face-to-face communication using consecutive speech machine translation technology. Participants were international students at a Japanese university who conversed using speech machine translation. Despite mistranslations, they continued to communicate, either understanding most of the message or giving up due to incomprehension. Notably, the turn-taking order was alternated mechanically, even when there was a long wait for the other person to speak. Unlike previous studies, gestures were not used to overcome communication barriers due to mistranslations; rephrasing was preferred. This study proposes the concept of “speech production load,” the burden of device operation and translation waiting time, as a determi-nant of the relationship between a speech machine translation system and user communication behavior in the context of modern technology.

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Section: Telecommunication Via Text-based Machine Translationmentioning

confidence: 99%

Section: Telecommunication Via Text-based Machine Translationmentioning

confidence: 99%

The Characteristics of Face-to-Face Communication Using Consecutive Speech Machine Translation Technology

Hatano

2024

BCT

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“…They also report that MT could also introduce confusion to the communication when a translation is wrong or obscure. Pituxcoosuvarn et al (2018) carry out an ethnographic study in a face to face communication setting to see how children from a multilingual background (Japanese, Khmer, Korean and English) use MT in a workshop to create an animation using clay figures. They find that when the MT message is not understandable, the children employed different strategies, for example: face to face communication in a common language, drawing, gestures or face to face communication using an interpreter as mediator.…”

Section: Related Workmentioning

confidence: 99%

“…However, target language participants did report on words that were wrong, incorrect or confusing (as per Table 1) in the MT scenario, and these terms created difficulties when completing the tasks. To overcome these difficulties, they resorted to their previous experience, checked the context, checked the visual icons, or they back-translated the term (into English), as in Lim and Fussell (2017) and Pituxcoosuvarn et al (2018).…”

Section: Language In the Word Applicationmentioning

confidence: 99%

The impact of translation modality on user experience: an eye-tracking study of the Microsoft Word user interface

Arenas

Moorkens

O’Brien

2021

Machine Translation

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This paper presents results of the effect of different translation modalities on users when working with the Microsoft Word user interface. An experimental study was set up with 84 Japanese, German, Spanish, and English native speakers working with Microsoft Word in three modalities: the published translated version, a machine translated (MT) version (with unedited MT strings incorporated into the MS Word interface) and the published English version. An eye-tracker measured the cognitive load and usability according to the ISO/TR 16982 guidelines: i.e., effectiveness, efficiency, and satisfaction followed by retrospective think-aloud protocol. The results show that the users’ effectiveness (number of tasks completed) does not significantly differ due to the translation modality. However, their efficiency (time for task completion) and self-reported satisfaction are significantly higher when working with the released product as opposed to the unedited MT version, especially when participants are less experienced. The eye-tracking results show that users experience a higher cognitive load when working with MT and with the human-translated versions as opposed to the English original. The results suggest that language and translation modality play a significant role in the usability of software products whether users complete the given tasks or not and even if they are unaware that MT was used to translate the interface.

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“…As one prominent form of CMC, machine translation (MT) is a powerful tool for multilingual groups and offers affordances for overcoming cultural and linguistic barriers in interactive collaboration. Indeed, MT is increasingly used, together with other resources such as gesture, for enabling plurilingual communication (Pituxcoosuvarn et al, 2018). Although nowadays there are various online MT resources available, Google Translate is one of the most common online resources used for translation, with over 200 million daily users (Shankland, 2013).…”

Section: Linguistic Mediation Within a Digitally-enhanced Learning Co...mentioning

confidence: 99%

Learning English Out of School: An Inclusive Approach to Research and Action

Moore¹

2021

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Official indicators suggest that English as a Foreign Language is one of the school subjects that is most telling of social inequalities in Catalonia, this being the geographical and educational context where the research presented in this volume was carried out. Similar findings are reported in other areas of Europe. This monograph reports on the main findings of the research project 'Inclusive epistemologies and practices of out-of-school English learning (IEP!)' , funded by the Spanish Ministry of Science and Innovation and led by the author of this chapter, which ran from January 2019 until June 2021. The project responded to low attainment levels for English as a Foreign Language among socioeconomically disadvantaged youth in a municipality in the metropolitan area surrounding Barcelona. As part of this project, the contributors to this volume: 1) collaboratively researched teenagers' existing practices of using and learning English out of school time; 2) implemented new, inclusive, nonformal English language educational initiatives; 3) evaluated the impact of the nonformal English language educational initiatives implemented; and 4) supported the sustainability and transferability of the initiatives. The project embedded collaborative and creative ways of working and building knowledge into its methodology, and in this sense, it aimed to contest traditional researcher-researched and logocentric hierarchies of knowledge, and to foster not only inclusive educational practices, but also inclusive epistemologies.

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Machine Translation Usage in a Children’s Workshop

Cited by 15 publications

References 13 publications

The Characteristics of Face-to-Face Communication Using Consecutive Speech Machine Translation Technology

The Characteristics of Face-to-Face Communication Using Consecutive Speech Machine Translation Technology

The impact of translation modality on user experience: an eye-tracking study of the Microsoft Word user interface

Learning English Out of School: An Inclusive Approach to Research and Action

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