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Step

Example

1. Navigate to the cTAKES downloads page on the Apache site and download the binary package. Select a mirror site and press the Change button to modify the URL to your desired mirror location before doing the download or accept the default.

Windows:
Download the ZIP file.
Linux:
Take the link for the file you want and use wget to obtain the *.TAR.GZ file.
wget <URL of the file>

Windows:
Image Removed
Linux:

Code Block
Note

The download time will be commensurate with 700MB of data.


Warning

A release candidate is currently available at:http://people.apache.org/~chenpei/ctakes-3.

...

0.0-incubating/rc5/target/


| Windows:
Image Added
Linux:

Code Block
HTTP request sent, awaiting response... 200 OK
Length: 763500777 (728M) [application/x-gzip]
Saving to: `apache-ctakes-3.0.0-incubating-bin.tar.gz'

13% [===========>                                     ] 106,548,331 1.13M/s eta 11m 9s

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2. (Optional but recommended) Verify the downloaded files against a file signature to ensure you have the proper and complete file.

No example

3. Unzip the file you downloaded into a directory that you want to be the cTAKES install location. The compressed files contain a single directory at the top level. This folder we will call <cTAKES_HOME>. You will need to refer to this directory later.

Windows:

Code Block
languagenone
C:\apache-ctakes-3.0.0-incubating

Linux:

Code Block
languagenone
/usr/local/apache-ctakes-3.0.0-incubating

Windows:

Linux:

Code Block
tar -xvf apache-ctakes-3.0.0-incubating-bin.tar.gz -C /usr/local

4. Download UMLS and model resources...

Warning

The location of these resources is not prepared yet. Replace this box with instructions.

No example

...

  • Training a sentence detector model
  • Training a Part of Speech (POS) tagger model (Building a model Obtaining training data)
  • Creating a Part of Speech (POS) tag dictionary (Building a tag dictionary)
  • Training a chunker model (Building a model - Prepare GENIA training data)
  • Training a dependency parser (Dependency Parser)

...