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| The {{attachment:matetools_perspective.png}} perspective provides a GUI to use the mate-tools parsing pipeline. | The {{attachment:matetools_perspective.png}} perspective provides a GUI to use the [[http://www.ims.uni-stuttgart.de/forschung/ressourcen/werkzeuge/matetools.html|mate-tools]] parsing pipeline. |
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| * Note: In this example we have no moprh-tagger model set. This work because the "Use Morph Tagger" Option above is unchecked. | * Note: In this example we have no moprh-tagger model set. This works because the "Use Morph Tagger" Option above is unchecked. |
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| * After setting up the model it can be used clicking on the model set dropdown menu. | * After setting up the model it can be used by clicking on the model set dropdown menu. |
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| 1. The resulting parse tree of this example is shown here: [[attachment:matetools_example.png|{{attachment:matetools_example.png|width="200"}} ]] | 1. The resulting parse tree of this example is shown here: [[attachment:matetools_example.png|{{attachment:matetools_example.png|width="200"}}]] |
ICARUS-Matetools-Parser-perspective
The 
perspective provides a GUI to use the mate-tools parsing pipeline.
How to parse a text/sentence:
- Copy the prefered text/sentence into the "Parser Input Field".
- Select the desired model set
- If the parsing model is already specified continue with 3.)
To create a new parsing model click on
This will open the matetools preferences dialog 
Click "New" to create a new model, edit or delete to manage existing models. Example model (edit mode):
- Note: In this example we have no moprh-tagger model set. This works because the "Use Morph Tagger" Option above is unchecked.
- Specify the parser-, tagger-, lemmatizer- and morph-tagger-model
- After setting up the model it can be used by clicking on the model set dropdown menu.
- Select the tokenizer. The default tokenizer use whitespace to split the sentence into tokens.
Click on
to parse the text/sentence. The resulting parse tree of this example is shown here:
