This paper describes an automated procedure for morphosemantic analysis and semantic interpretation of medical compound word forms ending in -ITIS. The requirements for morphosemantic analysis of -ITIS forms include : a) semantic classification of morphosemantic constituents forming -ITIS word forms, b) establishment of morphosemantic distribution patterns occurring in -ITIS forms, c) preparation of paraphrasing rules.
This paper describes a methodology for automated morphosemantic segmentation and semantic interpretation (paraphrasing rules) of medical compound word forms derived from Greek and Latin and denoting surgical procedures. Possible applications of such a procedure in medicine include the construction of computer-based medical dictionaries, automated processing of medical language, facilitation of international communication through national medical language, and vocabulary training for medical and paramedical personnel.
A procedure for automated indexing of pathology diagnostic reports at the National Institutes of Health is described. Diagnostic statements in medical English are encoded by computer into the Systematized Nomenclature of Pathology (SNOP). SNOP is a structured indexing language constructed by pathologists for manual indexing. It is of interest that effective automatic encoding can be based upon an existing vocabulary and code designed for manual methods. Morphosyntactic analysis, a simple syntax analysis, matching of dictionary entries consisting of several words, and synonym substitutions are techniques utilized.
This paper describes an automated procedure for the identification and subsequent transformation of nominal forms into the corresponding adjectival forms, participles into nominal forms, and a method for adjectivization of certain Greek and Latin phrases in medical language. The paper is an extension of our previous report which dealt with transforms of adjectives into nouns and nouns plural into nouns singular in medical English. It is a part of the information retrieval system for processing of pathology data which was developed at the Division of Computer Research and Technology, National Institutes of Health.
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