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Complex Term Identification for Ukrainian Medical Texts

The medical texts are very difficult in understanding when we have not only complex words in general meaning, but a lot of special terms and notions. It causes difficulties in understanding texts in medicine domain. Natural language processing engages people all over the world to apply statistics, machine learning, deep learning, and linguistics in order to solve those tasks. Linguistically complex tasks, such as the medical text understanding, are the most challenging because they require linguistic intuition. In this paper, we study how linguistic approach can be applied to solve the problem of identification of complex words. In order to study medical texts simplification, we try to analyze medical unified protocols as the case and test nlp approach for medical words identification. A dataset of different medical protocols from official resources is developed. The features of special medical words are studied.