Morphosemantic parsing of medical compound words: transferring a French analyzer to English.

Purpose: Medical language, as many technical languages, is rich with morphologically complex words, many of which take their roots in Greek and Latin--in which case they are called neoclassical compounds. Morphosemantic analysis can help generate definitions of such words. The similarity of structure of those compounds in several European languages has also been observed, which seems to indicate that a same linguistic analysis could be applied to neo-classical compounds from different languages with minor modifications.

Defining medical words: transposing morphosemantic analysis from French to English.

Medical language, as many technical languages, is rich with morphologically complex words, many of which take their roots in Greek and Latin-in which case they are called neoclassical compounds. Morphosemantic analysis can help generate definitions of such words. This paper reports work on the adaptation of a morphosemantic analyzer dedicated to French (DériF) to analyze English medical neoclassical compounds.

Defining and relating biomedical terms: towards a cross-language morphosemantics-based system.

This paper addresses the issue of how semantic information can be automatically assigned to compound terms, i.e. both a definition and a set of semantic relations.

Predicting Lexical Relations between Biomedical Terms: towards a Multilingual Morphosemantics-based System.

This paper addresses the issue of how semantic information can be automatically assigned to compound terms, i.e. both a definition and a set of semantic relations.

UMLF: a unified medical lexicon for French.

Medical Informatics has a constant need for basic medical language processing tasks, e.g. for coding into controlled vocabularies, free text indexing and information retrieval.

Acquiring meaning for French medical terminology: contribution of morphosemantics.

Morphologically complex words, and particularly neoclassical compounds, form more than 60% of the neologisms in the biomedical field. Guessing their definitions and grouping them into semantic classes by means of lexical relations are thus two crucial improvements for handling these words, e.g.

UMLF: a Unified Medical Lexicon for French.

Lexical resources for medical language, such as lists of words with inflectional and derivational information, are publicly available for the English lantuate with the UMLS Specialist Lexicon. The goal of the UMLF project is to pool and unify existing resources and to add extensively to them by exploiting medical terminologies and corpora, resulting in a Unified Medical Lexicon for French. We present here the current status of the project.

Towards a unified medical lexicon for French.

Medical Informatics has a constant need for basic Medical Language Processing tasks, e.g., for coding into controlled vocabularies, free text indexing and information retrieval.