ICARUS-Matetools-Parser-perspective

The matetools_perspective.png perspective provides a GUI to use the mate-tools parsing pipeline.

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Index:

  1. How to parse a text/sentence

  2. Graph-List Outline

  3. Table Outline

  4. Parser Input

I. How to parse a text/sentence:

  1. Copy the prefered text/sentence into the "Parser Input Field".
    • matetools_parserinput.png

  2. Select the desired model set
    • If the parsing model is already specified continue with 3.)
    • To create a new parsing model click on matetools_preferences.png This will open the matetools preferences dialog attachment:matetools_preferences_dialog.png

    • Click "New" to create a new model, edit or delete to manage existing models. Example model (edit mode): matetools_model_edit.png

    • 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.
  3. Select the tokenizer. The default tokenizer use whitespace to split the sentence into tokens.
  4. Click on matetools_parse.png to parse the text/sentence.

  5. The resulting parse tree of this example is shown here: attachment:matetools_example.png

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II. Graph-List Outline

matetools_graph-outline.png This tab is used to show the parse tree:

Graph-List Outline Toolbar: matetools_graph-outline-tb.png

At the lower part of the graph panel is the text outline. A list that contains all sentences that have been parsed in the current matetools session. The selected sentence is shown in the graph panel.

Toolbar: text-tb.png

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III. Table Outline

attachment:matetools_table-outline.png A table representation of the graph shown in the Graph-List outline.

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IV. Parser Input

matetools_parserinput.png

Toolbar: matetools_parserinput-tb.png

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