Published on in Vol 1, No 2 (2015): Jul-Dec

Machine Translation of Public Health Materials From English to Chinese: A Feasibility Study

Machine Translation of Public Health Materials From English to Chinese: A Feasibility Study

Machine Translation of Public Health Materials From English to Chinese: A Feasibility Study

Journals

  1. Miller R, Doria-Anderson N, Shibanuma A, Sakamoto J, Yumino A, Jimba M. Evaluating Local Multilingual Health Care Information Environments on the Internet: A Pilot Study. International Journal of Environmental Research and Public Health 2021;18(13):6836 View
  2. Ji M, Bouillon P. Predicting the Linguistic Accessibility of Chinese Health Translations: Machine Learning Algorithm Development. JMIR Medical Informatics 2021;9(10):e30588 View
  3. Takakusagi Y, Oike T, Shirai K, Sato H, Kano K, Shima S, Tsuchida K, Mizoguchi N, Serizawa I, Yoshida D, Kamada T, Katoh H. Validation of the Reliability of Machine Translation for a Medical Article From Japanese to English Using DeepL Translator. Cureus 2021 View
  4. Herrmann-Werner A, Loda T, Zipfel S, Holderried M, Holderried F, Erschens R. Evaluation of a Language Translation App in an Undergraduate Medical Communication Course: Proof-of-Concept and Usability Study. JMIR mHealth and uHealth 2021;9(12):e31559 View
  5. Long J, He J, Jain D. Chinese Translation Errors in English Machine Translation Based on Wireless Sensor Network Communication Algorithm. Wireless Communications and Mobile Computing 2022;2022:1 View
  6. Alotaibi H, Salamah D. The impact of translation apps on translation students’ performance. Education and Information Technologies 2023;28(8):10709 View
  7. Sampogna G, Fiorillo A, Wasserman D. How to improve the quality of World Psychiatric Association educational activities? Results from an online survey with World Psychiatric Association zonal representatives. Asia-Pacific Psychiatry 2021;13(4) View
  8. Hunter D, Oates R, Anderson N, Kok D, Sapkaroski D, Wright C. Validation testing of a language translation device for suitability in assisting Australian radiation therapists to communicate with Mandarin-speaking patients. Technical Innovations & Patient Support in Radiation Oncology 2023;26:100207 View
  9. Zappatore M, Ruggieri G. Adopting machine translation in the healthcare sector: A methodological multi-criteria review. Computer Speech & Language 2024;84:101582 View
  10. Herrera-Espejel P, Rach S. The Use of Machine Translation for Outreach and Health Communication in Epidemiology and Public Health: Scoping Review. JMIR Public Health and Surveillance 2023;9:e50814 View
  11. Sebo P, de Lucia S, Khan I. Performance of machine translators in translating French medical research abstracts to English: A comparative study of DeepL, Google Translate, and CUBBITT. PLOS ONE 2024;19(2):e0297183 View