Google translate in healthcare: preliminary evaluation of transcription, translation and speech synthesis accuracy. Issue 2 (2nd March 2021)
- Record Type:
- Journal Article
- Title:
- Google translate in healthcare: preliminary evaluation of transcription, translation and speech synthesis accuracy. Issue 2 (2nd March 2021)
- Main Title:
- Google translate in healthcare: preliminary evaluation of transcription, translation and speech synthesis accuracy
- Authors:
- Birkenbeuel, Jack
Joyce, Helen
Sahyouni, Ronald
Cheung, Dillon
Maducdoc, Marlon
Mostaghni, Navid
Sahyouni, Sammy
Djalilian, Hamid
Chen, Jefferson
Lin, Harrison - Abstract:
- Abstract : Objective: To assess the ability of Google Translate (GT) to accurately interpret single sentences and series of sentences commonly used in healthcare encounters from English to Spanish. Design: English-speaking volunteers used GT to interpret a list of 83 commonly used sentences and series of sentences of different lengths containing both medical and non-medical terminology. A certified medical interpreter evaluated whether the meaning of these sentences was preserved. Participants: Eighteen English-speaking subjects (nine males and nine females), with a mean age of 36 years, volunteered for this study to read sentences. Main outcome measures: The accuracy of GTs (1) real-time voice recognition (ie, transcription) of English sentences, (2) real-time translation of these transcribed English sentences to Spanish, and (3) GTs speech synthesis ability to preserve the meaning of spoken English sentences after translation to Spanish. Results: Speech synthesis accuracy, with preservation of the original English-spoken sentence(s), was 89.4% for single sentences with ≤8 words; 90.6% for single sentences with >8 words; 52.2% for two sentences and 26.6% for three sentences. Furthermore, the number of transcription and translation errors per sentence(s) significantly increased with the number of sentences (p<0.05). Conclusions: Despite the fact that GTs accuracy was widely variable and dependent on the length of the spoken sentence(s), GT is readily accessible, has noAbstract : Objective: To assess the ability of Google Translate (GT) to accurately interpret single sentences and series of sentences commonly used in healthcare encounters from English to Spanish. Design: English-speaking volunteers used GT to interpret a list of 83 commonly used sentences and series of sentences of different lengths containing both medical and non-medical terminology. A certified medical interpreter evaluated whether the meaning of these sentences was preserved. Participants: Eighteen English-speaking subjects (nine males and nine females), with a mean age of 36 years, volunteered for this study to read sentences. Main outcome measures: The accuracy of GTs (1) real-time voice recognition (ie, transcription) of English sentences, (2) real-time translation of these transcribed English sentences to Spanish, and (3) GTs speech synthesis ability to preserve the meaning of spoken English sentences after translation to Spanish. Results: Speech synthesis accuracy, with preservation of the original English-spoken sentence(s), was 89.4% for single sentences with ≤8 words; 90.6% for single sentences with >8 words; 52.2% for two sentences and 26.6% for three sentences. Furthermore, the number of transcription and translation errors per sentence(s) significantly increased with the number of sentences (p<0.05). Conclusions: Despite the fact that GTs accuracy was widely variable and dependent on the length of the spoken sentence(s), GT is readily accessible, has no associated monetary costs, and offers nearly immediate interpretation services. As such, it has the potential to routinely facilitate effective one-way oral communication between English-speaking physicians and Spanish-speaking patients with limited English proficiency. … (more)
- Is Part Of:
- BMJ innovations. Volume 7:Issue 2(2021)
- Journal:
- BMJ innovations
- Issue:
- Volume 7:Issue 2(2021)
- Issue Display:
- Volume 7, Issue 2 (2021)
- Year:
- 2021
- Volume:
- 7
- Issue:
- 2
- Issue Sort Value:
- 2021-0007-0002-0000
- Page Start:
- 422
- Page End:
- 429
- Publication Date:
- 2021-03-02
- Subjects:
- otolaryngology -- assistive technology -- accessible -- medical apps -- affordable
Medicine -- Research -- Periodicals
610.72 - Journal URLs:
- http://www.bmj.com/archive ↗
http://innovations.bmj.com/ ↗ - DOI:
- 10.1136/bmjinnov-2019-000347 ↗
- Languages:
- English
- ISSNs:
- 2055-8074
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22990.xml