title: Clinically-weighted terms in the evaluation of MeSH translations: BabelMeSH in Portuguese as a model.
abstract: We propose a new method of evaluating the accuracy of machine translation by clinical weighting. Weight is determined by its importance in the clinical diagnosis. A new algorithm was developed based on clinical term weighting. We compared simple word alignment, clinical weighting algorithm and human review by translation efficiency. The results were 65%, 86% and 90% respectively. This method encourages a quantitative evaluation of translation accuracy and facilitates automation. Clinical weighting promotes better evaluation.
authors.affiliation: National Library of Medicine, Bethesda, MD, USA.
authors.forename: Fang
authors.initials: F
authors.lastname: Liu
authors.forename: Paul
authors.initials: P
authors.lastname: Fontelo
authors.forename: Marcelo
authors.initials: M
authors.lastname: Fiszman
mesh_terms: D001185:Artificial Intelligence; D004018:Dictionaries, Medical as Topic; D016247:Information Storage and Retrieval / Q000379:methods*; D046650:Medical Subject Headings; D009323:Natural Language Processing; D011174:Portugal; D014175:Translating; D014481:United States