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In the medical domain, user-generated social media text is increasingly used as a valuablecomplementary knowledge source to scientific medical literature. ... This paper presents a data-driven lexical normalizationpipeline with a novel spelling correction module for medical social media. ... Acknowledgments: We would like to thank Gerard van Oortmerssen for his help annotating the data. This research project is part of the Leiden University Data Science Research Programme. ...doi:10.3390/mti3030060 fatcat:5gp7wxxqpbg3bbc5v2lsmqqbly