This article describes a second aspect of the Project for Latin Lexicography (see previous article). We here concentrate on two aspects of the project. First, we describe the morphological analyzer, which comprises a base dictionary, a table of suffixes, a table of endings and a table of posffixes. Second, we describe the lemmatization module, which operates by reference to a series of grammatical codes or information given for the base, and reference codes.
Clinical environments require that Information Systems provide efficient access to the stored data. The actual effort is devoted to the evolution from archives towards integrated databases, including both data and images, allowing the researcher as well as the clinician to perform longitudinal and transversal studies, based on keys, lemmas and notes describing both pictorial and pathological features. The present study aims to apply to a medical information system, tools and methods, derived from computational linguistics, to allow the navigation, annotation and creative analysis of the stored data (in particular radiologic images of cardiological and pneumological patients) for longitudinal and transversal studies.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.