Multiple-Language Translation System Focusing on Long-Distance Medical and Outpatient Services

Muhaxov, Harhenbek; Lou, Zhong; Tayila, Susha; Yedemucao, Dawa

doi:10.1109/bigmm.2016.55

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…The BLED score indicated that the translation accuracy rate was 82.23 percent. Another research team (Muhaxov, Tayila, & Yedemucao, 2016) developed a machine translation system for supporting/improving patient-physician communications in Xinjiang province China, where a large percentage of people living in the countryside of that province do not speak Mandarin. This syste1n translates medical vvritten sentences focusing on long-distance medical and outpatient services among Chinese, Uyghur and l(azakh languages.…”

Section: Other Machine Translation Tools To Translate Written Textmentioning

confidence: 99%

Is machine language translation a viable tool for health communication?

Chen¹,

Acosta²

2019

Cross-Cultural Health Translation

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Language barriers and miscommunications may lead to negative consequences in health care. For exa. mple, when patients and health care providers speak different languages, medical misdiagnoses likely follow. Patients often misunderstand or have limited access to quality health information, resulting in medication dosage errors, inappropriate health decisions, extra time and money for health care services, and ineffective experiences \.vith health care providers (Jacobs, I

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Section: Other Machine Translation Tools To Translate Written Textmentioning

confidence: 99%

Is machine language translation a viable tool for health communication?

Chen¹,

Acosta²

2019

Cross-Cultural Health Translation

View full text Add to dashboard Cite

show abstract

Development of machine translation technology for assisting health communication: A systematic review

Dew

Turner

Choi

et al. 2018

Journal of Biomedical Informatics

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MT is currently being developed primarily through pilot studies to improve multilingual communication in health settings and to increase access to health resources for a variety of languages. However, continued concerns about accuracy limit the deployment of MT systems in these settings. The variety of piloted systems and the lack of shared evaluation criteria will likely continue to impede adoption in health settings, where excellent accuracy and a strong evidence base are critical. Greater translation accuracy and use of standard evaluation criteria would encourage deployment of MT into health settings. For now, the literature points to using MT in health communication as an initial step to be followed by human correction.

show abstract

Multiple-Language Translation System Focusing on Long-Distance Medical and Outpatient Services

Cited by 2 publications

References 3 publications

Is machine language translation a viable tool for health communication?

Is machine language translation a viable tool for health communication?

Development of machine translation technology for assisting health communication: A systematic review

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