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The Use of Automated Machine Translation to Translate Figurative Language in a Clinical Setting: Analysis of a Convenience Sample of Patients Drawn From a Randomized Controlled Trial

The Use of Automated Machine Translation to Translate Figurative Language in a Clinical Setting: Analysis of a Convenience Sample of Patients Drawn From a Randomized Controlled Trial

Accuracy of transcription and translation of each FLD was independently determined by 2 bilingual researchers. If an FLD was categorized as an inaccurate transcription, the FLD was marked as “transcript inaccurate,” and no subsequent analysis of translation was made, as translation is dependent on accurate transcription. If an FLD was categorized as an accurate transcription, the FLD was then subdivided into either an accurate or an inaccurate translation.

Hailee Tougas, Steven Chan, Tara Shahrvini, Alvaro Gonzalez, Ruth Chun Reyes, Michelle Burke Parish, Peter Yellowlees

JMIR Ment Health 2022;9(9):e39556