Medical language is highly compositional and makes extensive use of co
mmon roots, especially Latino-Greek roots. Besideswords devoted to com
mon sense, medical language presents some typical characteristics,espe
cially on morphological and semantic aspects of word formation. Morpho
logical decomposition and identification precedes semantic analysis. I
t is only when these two prerequisites are fulfilled that an attempt t
o grasp the meaning of a whole expression is made possible. The main a
im of the proposed approach is that of coping with 'the lack of covera
ge of the medical lexical knowledge', in order to help physicians find
the correct international classification for diseases (ICD) codes for
a written diagnosis. The proposed methodology allows the development
of a powerful dynamic dictionary dedicated to natural language process
ing in the field of diagnoses and narrative procedures. It describes t
he design of an analyser that can profit fromh a dictionary. The metho
ds used have proved to be efficient for various classifications, s wel
l as for multiple languages, as the system presently supports French,
German, English and Dutch for ICD-9 and ICD-10 classifications. (C) 19
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