Document Detail


Aligning lay and specialized passages in comparable medical corpora.
MedLine Citation:
PMID:  18487713     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
While the public has increasingly access to medical information, specialized medical language is often difficult for non-experts to understand and there is a need to bridge the gap between specialized language and lay language. As a first step towards this end, we describe here a method to build a comparable corpus of expert and non-expert medical French documents and to identify similar text segments of lay and specialized language. Among the top 400 pairs of text segments retrieved with this method, 59% were actually similar and 37% were deemed exploitable for further processing. This is encouraging evidence for the target task of finding equivalent expressions between these two varieties of language.
Authors:
Louise Deleger; Pierre Zweigenbaum
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Studies in health technology and informatics     Volume:  136     ISSN:  0926-9630     ISO Abbreviation:  Stud Health Technol Inform     Publication Date:  2008  
Date Detail:
Created Date:  2008-05-19     Completed Date:  2008-09-30     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9214582     Medline TA:  Stud Health Technol Inform     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  89-94     Citation Subset:  T    
Affiliation:
INSERM UMRS 872 Eq. 20, Paris, France. louise.deleger@spim.jussieu.fr
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MeSH Terms
Descriptor/Qualifier:
Artificial Intelligence
France
Health Education
Humans
Information Storage and Retrieval
Internet
Natural Language Processing*
Software
Translating
Unified Medical Language System
Vocabulary, Controlled

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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