| 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 |
Related Documents
:
|
21681513 - Formal verification of medical monitoring software using z language: a representative s... 1757753 - The use of graphic design in an interactive computer teaching program. 20351913 - A clinical rule editor in an electronic medical record setting: development, design, an... |
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 |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| 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
Previous Document: An easy to use and affordable home-based personal eHealth system for chronic disease management base...
Next Document: Knowledge engineering as a support for building an actor profile ontology for integrating Home-Care ...