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Warning

openTMStermTagger is not part of translate5, but translate5 builds on it to find and highlight terminology.

Table of Contents

openTMStermTagger Configuration

Make start and stop script executable

First some permissions has to be corrected:

Code Block
languagebash
sudo chmod 775 /var/www/translate5/application/modules/editor/ThirdParty/XliffTermTagger/startServer.sh
sudo chmod 775 /var/www/translate5/application/modules/editor/ThirdParty/XliffTermTagger/stopServer.sh

Adjust java runtime

The next step might not be necessary on most/some of the systems.

If Oracle Java is not your only installed Java version you have to do the next step. In all other cases it is still recommended to avoid problems.

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Attention: This should be the path to your Java, if you did follow the translate5 Ubuntu installation manual. If you did install your Java in another location, you have to customize the path accordingly. 

Configure multiple openTMStermTagger instances

By default translate5 uses only one termTagger one openTMStermTagger instance running on port 9001. For better performance for big data you can use as many termTagger instances as you want with one translate5 instance. If you want to do that, open the

/var/www/translate5/application/modules/editor/ThirdParty/XliffTermTagger/termtagger-server.conf

file and configure more termTagger more openTMStermTagger instances, as shown there. Then

  • open the Zf_configuration table of your translate5 instance
  • open the rows, where the column "name" has the values "runtimeOptions.termTagger.url.default", "runtimeOptions.termTagger.url.import" and "runtimeOptions.termTagger.url.gui" and set the column "value" to the URLs of your termTagger instances, as explained in the column "description" of the according row.
Note

For a recommended TermTagger setup see OpenTMSTermTagger - recommended setup.

Configure memory usage

By default one termTagger instance uses 2500 MB memory. If you want to decrease or increase that, open the file 

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 to another value (2500M equals 2,5GB of main memory; value is per termTagger TermTagger instance)

Starting the TermTagger

After that openTMStermTagger can be started as normal user, by calling the startServer script:

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To stop the server call the stopServer script accordingly.

You can also create a init.d script to ensure that the openTMSTermTagger Server is started automatically.

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Note
It is recommended to start the TermTagger automatically with a supervisor as described in openTMStermTagger - run as daemon with startup scripts