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© 2015. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

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 (= 0·001) for Google Translate 17·1 (sd 7·2) than for Babylon 9 11 (sd 7·9). 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.

Details

Title
A prospective observational study of machine translation software to overcome the challenge of including ethnic diversity in healthcare research
Author
Taylor, Rachel M 1 ; Crichton, Nicola 2 ; Moult, Beki 3 ; Gibson, Faith 4 

 School of Health & Social Care, London South Bank University, London, UK; Cancer Clinical Trials Unit, University College London Hospitals NHS Foundation Trust, London, UK 
 School of Health & Social Care, London South Bank University, London, UK 
 Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK 
 School of Health & Social Care, London South Bank University, London, UK; Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK 
Pages
14-23
Section
Research articles
Publication year
2015
Publication date
Apr 2015
Publisher
John Wiley & Sons, Inc.
e-ISSN
20541058
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2289718807
Copyright
© 2015. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.