Supporting a children's workshop with machine translation

Mondheera Pituxcoosuvarn, Toru Ishida, Naomi Yamashita, Toshiyuki Takasaki, Yumiko Mori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Previous studies have investigated the characteristics of machine translation(MT)-mediated communication in lab settings and suggested various ways to improve it [1]. Unfortunately, we still lack an understanding of how MT is used in real-world settings, particularly when people use it to support face-to-face communication. In this paper, we report on a field study of a multilingual workshop where children from various language regions used MT to communicate with each other. We investigate how children use various information such as nonverbal cues and drawings to compensate for the mistranslations of MT. For example, children tried to understand the mistranslated messages by reading alternative translations and used web browsers to search for pictures of unknown objects. Such findings provide insights for designing future multilingual support systems.

Original languageEnglish
Title of host publicationIUI 2018 - Companion of the 23rd International Conference on Intelligent User Interfaces
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450355711
Publication statusPublished - 2018 Mar 5
Externally publishedYes
Event23rd International Conference on Intelligent User Interfaces, IUI 2018 - Tokyo, Japan
Duration: 2018 Mar 72018 Mar 11

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI


Other23rd International Conference on Intelligent User Interfaces, IUI 2018


  • Field study
  • Machine translation
  • Multilingual workshop

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction


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