Configuring the IXIASOFT CCMS Desktop localization model
You can configure the IXIASOFT CCMS Desktop localization model used for your deployment in the localizationManagers.xml file.
There are two localization models: the sequential localization model and the concurrent localization model. They have different workflows and offer different advantages and disadvantages. For more information about each localization model, see the IXIASOFT CCMS Desktop User Guide.
Sequential localization model for IXIASOFT CCMS Desktop
In this model, when you localize a source object for the first time, IXIASOFT CCMS creates a new object in the target language. This language object is updated whenever a new version of the source object is sent to localization, so there is a one-to-one mapping between the files in localization and their authoring sources. Files in the localization kits are in DITA.
Concurrent localization model for IXIASOFT CCMS Desktop
In this model, each time a new revision of a source object is localized, it creates a new file for that object in the localization workflow in each target language. So each localization creates a new "branch" of the content in localization for each target language.
The concurrent localization model has the following additional features:
- Can generate localization kits in XLIFF and DITA formats
- Auto-translation process can be configured to ignore changes that you consider minor
- Can provide a report with detailed feedback on the localization process
- Has a status in its workflow that indicates whether a document was completely auto-translated by the system
- Localization kits provide more content, such as including all the source text and images to provide context for the translation
Node-based localization method for IXIASOFT CCMS Desktop
The node-based localization method is an older variant of the concurrent localization model. In the node-based localization method, when the files were exported to the localization kit, they were always converted into an XLIFF format. The concurrent localization model replaced the node-based localization method.