The Accuracy of Google Translate for Abstracting Data From NonEnglish-Language Trials for Systematic Reviews

@article{Jackson2019TheAO,
  title={The Accuracy of Google Translate for Abstracting Data From NonEnglish-Language Trials for Systematic Reviews},
  author={Jeffrey L. Jackson and Akira Kuriyama and Andreea Anton and April Choi and Jean-Pascal Fournier and Anne-Kathrin Geier and Frederique A Jacquerioz and Dmitry Kogan and Cecilia Scholcoff and Rao Sun},
  journal={Annals of Internal Medicine},
  year={2019},
  volume={171},
  pages={677-679}
}
Background: A critical marker of high-quality systematic reviews is the identification and inclusion of all relevant, important studies. Up to 78% of systematic reviews have language restrictions; as a consequence, most reviews (93%) exclude at least 1 randomized controlled trial (RCT) (1). A 2012 study assessing Google Translate for translating nonEnglish-language studies recommended caution in using this service (2). Recently, Google updated its translation engine, reporting that it is… 
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TLDR
The accuracy of Google Translate was evaluated for the purpose of data extraction of non-English language articles and translation was not always possible, but generally required few resources.
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TLDR
The purpose was to assess the frequency that systematic reviews are limited to studies published in English, and to evaluate the thoroughness of the search.
The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials
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The Cochrane Collaboration’s tool for assessing risk of bias aims to make the process clearer and more accurate.
Google Translate is getting really, really accurate. Washington Post. 3 October 2016
  • Accessed at www.washingtonpost.com/news /innovations/wp/2016/10/03/google-translate-is-getting-really-really-accurate /?utm_term=.4eb5991f4cfc on
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