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Posted to commits@ctakes.apache.org by ch...@apache.org on 2012/12/04 16:55:07 UTC

svn commit: r1417005 - /incubator/ctakes/site/trunk/content/ctakes/index.mdtext

Author: chenpei
Date: Tue Dec  4 15:55:06 2012
New Revision: 1417005

URL: http://svn.apache.org/viewvc?rev=1417005&view=rev
Log:
add a link to components

Modified:
    incubator/ctakes/site/trunk/content/ctakes/index.mdtext

Modified: incubator/ctakes/site/trunk/content/ctakes/index.mdtext
URL: http://svn.apache.org/viewvc/incubator/ctakes/site/trunk/content/ctakes/index.mdtext?rev=1417005&r1=1417004&r2=1417005&view=diff
==============================================================================
--- incubator/ctakes/site/trunk/content/ctakes/index.mdtext (original)
+++ incubator/ctakes/site/trunk/content/ctakes/index.mdtext Tue Dec  4 15:55:06 2012
@@ -21,7 +21,7 @@ Apache clinical Text Analysis and Knowle
 
 Apache cTAKES was built using the Apache UIMA Unstructured Information Management Architecture engineering framework and Apache OpenNLP natural language processing toolkit. Its components are specifically trained for the clinical domain out of diverse manually annotated datasets, and create rich linguistic and semantic annotations that can be utilized by clinical decision support systems and clinical research. cTAKES has been used in a variety of use cases in the domain of biomedicine such as phenotype discovery, translational science, pharmacogenomics and pharmacogenetics.
 
-Apache cTAKES employs a number of rule-based and machine learning methods. Apache cTAKES employs a number of rule-based and machine learning methods. Apache cTAKES components include:
+Apache cTAKES employs a number of rule-based and machine learning methods. Apache cTAKES employs a number of rule-based and machine learning methods. Apache cTAKES [components](components.html) include:
  
    1. Sentence boundary detection
    1. Tokenization (rule-based)