Clinical Natural Language Processing in languages other than English: opportunities and challenges.
Résumé
Background:Natural language processing applied to clinical text or aimed at a clinical outcome has been thriving inrecent years. This paper offers the first broad overview of clinical Natural Language Processing (NLP) for languagesother than English. Recent studies are summarized to offer insights and outline opportunities in this area.Main Body:We envision three groups of intended readers: (1) NLP researchers leveraging experience gained in otherlanguages, (2) NLP researchers faced with establishing clinical text processing in a language other than English, and(3) clinical informatics researchers and practitioners looking for resources in their languages in order to apply NLPtechniques and tools to clinical practice and/or investigation. We review work in clinical NLP in languages other thanEnglish. We classify these studies into three groups: (i) studies describing the development of new NLP systems orcomponents de novo, (ii) studies describing the adaptation of NLP architectures developed for English to anotherlanguage, and (iii) studies focusing on a particular clinical application.Conclusion:We show the advantages and drawbacks of each method, and highlight the appropriate applicationcontext. Finally, we identify major challenges and opportunities that will affect the impact of NLP on clinical practiceand public health studies in a context that encompasses English as well as other languages.
Origine | Publication financée par une institution |
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