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A prospective observational study of machine translation software to overcome the challenge of including ethnic diversity in healthcare research

Taylor, RM, Crichton, N, Moult, B and Gibson, F (2015) A prospective observational study of machine translation software to overcome the challenge of including ethnic diversity in healthcare research Nursing Open, 2 (1). pp. 14-23.

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Abstract

Aim This study investigates whether machine translation could help with the challenge of enabling the inclusion of ethnic diversity in healthcare research. Design A two phase, prospective observational study. Methods Two machine translators, Google Translate and Babylon 9, were tested. Translation of the Strengths and Difficulties Questionnaire (SDQ) from 24 languages into English and translation of an English information sheet into Spanish and Chinese were quality scored. Quality was assessed using the Translation Assessment Quality Tool. Results Only six of the 48 translations of the SDQ were rated as acceptable, all from Google Translate. The mean number of acceptably translated sentences was higher (P = 0001) for Google Translate 171(SD 7 2) than for Babylon 9 11 (SD79). Translation by Google Translate was better for Spanish and Chinese,although no score was in the acceptable range. Machine translation is not currently sufficiently accurate without editing to provide translation of materials for use in healthcare research.

Item Type: Article
Subjects : Biosciences
Divisions : Faculty of Health and Medical Sciences > School of Biosciences and Medicine
Authors :
AuthorsEmailORCID
Taylor, RMUNSPECIFIEDUNSPECIFIED
Crichton, NUNSPECIFIEDUNSPECIFIED
Moult, BUNSPECIFIEDUNSPECIFIED
Gibson, FUNSPECIFIEDUNSPECIFIED
Date : 29 January 2015
Identification Number : 10.1002/nop2.13
Copyright Disclaimer : This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Depositing User : Symplectic Elements
Date Deposited : 07 Jun 2016 11:27
Last Modified : 07 Jun 2016 11:27
URI: http://epubs.surrey.ac.uk/id/eprint/810934

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