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Fig. 4 | BMC Medical Informatics and Decision Making

Fig. 4

From: CERC: an interactive content extraction, recognition, and construction tool for clinical and biomedical text

Fig. 4

The automatic language translator design schema. The system utilizes a machine learning environment that incorporates CERC, Google Translate, a “self-learning translator,” and “a language library”. CERC first processes narrative text from de-identified discharge summaries, Google Translate then translates the resulting summary from English into different languages. Professional language experts correct the translated text and the self-learning translator takes in the processed discharge text as well as the expert corrected content, learns adaptively from the corrections and retains that knowledge in its self-learning library

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