title: Two biomedical sublanguages: a description based on the theories of Zellig Harris.
abstract: Natural language processing (NLP) systems have been developed to provide access to the tremendous body of data and knowledge that is available in the biomedical domain in the form of natural language text. These NLP systems are valuable because they can encode and amass the information in the text so that it can be used by other automated processes to improve patient care and our understanding of disease processes and treatments. Zellig Harris proposed a theory of sublanguage that laid the foundation for natural language processing in specialized domains. He hypothesized that the informational content and structure form a specialized language that can be delineated in the form of a sublanguage grammar. The grammar can then be used by a language processor to capture and encode the salient information and relations in text. In this paper, we briefly summarize his language and sublanguage theories. In addition, we summarize our prior research, which is associated with the sublanguage grammars we developed for two different biomedical domains. These grammars illustrate how Harris' theories provide a basis for the development of language processing systems in the biomedical domain. The two domains and their associated sublanguages discussed are: the clinical domain, where the text consists of patient reports, and the biomolecular domain, where the text consists of complete journal articles.
authors.affiliation: Department of Medical Informatics, Columbia University, VC5, Vanderbilt Building, 622 West 168th Street, New York, NY 10032-3720, USA. friedman@dmi.columbia.edu
authors.forename: Carol
authors.initials: C
authors.lastname: Friedman
authors.forename: Pauline
authors.initials: P
authors.lastname: Kra
authors.forename: Andrey
authors.initials: A
authors.lastname: Rzhetsky
mesh_terms: D000043:Abstracting and Indexing; D020811:Biomedical Technology / Q000379:methods; D015510:Clinical Medicine / Q000379:methods; D016208:Databases, Factual; D016247:Information Storage and Retrieval / Q000379:methods*; D008967:Molecular Biology / Q000379:methods; D009323:Natural Language Processing; D012660:Semantics; D013358:Subject Headings; D009626:Terminology as Topic; D018875:Vocabulary, Controlled