Document Detail


Morpheme-based, cross-lingual indexing for medical document retrieval.
MedLine Citation:
PMID:  10978912     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The increasing availability of machine-readable medical documents is not really matched with the sophistication of currently used retrieval facilities to deal with a variety of critical natural language phenomena. Still most popular are string-matching methods which encounter problems for the medical sublanguage, in particular, concerning the wide-spread use of complex word forms such as noun compounds. We introduce a methodology for the segmentation of complex compounds into medically motivated morphemes. Given the sublanguage patterns in our data these morphemes derive from German, Greek and Latin roots. For indexing and retrieval purposes, such a morpheme dictionary may be further structured by defining the semantic relations among morpheme sets in order to build up a multilingual morpheme thesaurus. We present a tool for thesaurus compilation and management, and outline a methodology for the proper construction and maintenance of a multilingual morpheme thesaurus.
Authors:
S Schulz; U Hahn
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  International journal of medical informatics     Volume:  58-59     ISSN:  1386-5056     ISO Abbreviation:  Int J Med Inform     Publication Date:  2000 Sep 
Date Detail:
Created Date:  2000-11-29     Completed Date:  2000-11-29     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  9711057     Medline TA:  Int J Med Inform     Country:  IRELAND    
Other Details:
Languages:  eng     Pagination:  87-99     Citation Subset:  IM    
Affiliation:
CLIF Computational Linguistics Laboratory, Freiburg University, Werthmannplatz 1, D-79085 Freiburg, Germany. stschulz@uni-freiburg.de
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MeSH Terms
Descriptor/Qualifier:
Germany
Humans
Information Storage and Retrieval*
Medical Informatics Computing*
Multilingualism*
Terminology as Topic
Vocabulary, Controlled*

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