2022
DOI: 10.3390/info13070317
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A Snapshot of Children’s Attitudes toward Machine Translation

Abstract: Technologies offered and used on the Internet play a significant part in the lives of children; nevertheless, little research has been done on how children view and use machine translation (MT). According to recent literature, there are various benefits to using MT in teaching/learning foreign languages, such as more fluent writing, more effective communication, and fewer errors. Nevertheless, the use of MT in classroom settings is often viewed as problematic by language teachers. Despite the fact that a vast … Show more

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Cited by 7 publications
(2 citation statements)
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“…Like studies by Vieira et al (2022a) and Gaspari (2007), however, Yamada et al did not provide a broader discussion of what non-users of the technology knew about it or about where they may find it. Liubinienė, Lisaitė, and Motiejūnienė (2022) looked at children's perceptions of MT tools in Lithuania.…”
Section: Research On Machine Translation and Societymentioning
confidence: 99%
“…Like studies by Vieira et al (2022a) and Gaspari (2007), however, Yamada et al did not provide a broader discussion of what non-users of the technology knew about it or about where they may find it. Liubinienė, Lisaitė, and Motiejūnienė (2022) looked at children's perceptions of MT tools in Lithuania.…”
Section: Research On Machine Translation and Societymentioning
confidence: 99%
“…from China and Japan to build a practical Chinese-Japanese and Japanese-Chinese machine translation system. Such a high-quality and robust machine translation system will not only enhance the development of machine translation research itself, but also apply it to cross-lingual information services between libraries, or to practical scenarios in economic and cultural exchanges, which will be a great contribution to all aspects of information exchange and resource sharing between China and Japan [18]. e translation systems developed so far are mostly computer software translation systems.…”
Section: Analysis Of Machine Translation Problems In Chinese Andmentioning
confidence: 99%