Please note: To identify nodes within the statistical viewer
in a unique way, every node must be labelled, i.e. it must
be identified by a node variable (e.g. #art).The statistical viewer has been developed as a specialized view on the match results. Users can export their favourite matches as tables. We support a text-based output format, an proprietary XML-based format, and the Excel format.
In the present section, the description of the statistical viewer is illustrated by the results of the following TIGERSearch query:
#np:[cat="NP"] & #art:[pos="ART"] & #adj:[pos="ADJA"] & #nn:[pos="NN"] & #np > #art & #np > #adj & #np > #nn & arity(#np,3)
Please note: To identify nodes within the statistical viewer
in a unique way, every node must be labelled, i.e. it must
be identified by a node variable (e.g. #art).
To show the statistical viewer, press the Statistics button in the button toolbar of the TIGERSearch main window, or select the Statistics item in the Query menu.
Please note: You can easily switch between the TIGERSearch main window, the GraphViewer
window, and the statistical viewer using the shortcut buttons in the lower left
corner of the three windows. If you press a shortcut button,
the corresponding window will be moved in front of all other windows on your desktop.
First of all, you have to specify the nodes and node features you are interested in. These are selected in the first two rows of the statistics table. Select the node in the first row and the node feature in the second row (cf. screenshot). If you like to display more than just one node feature, you can add more node feature columns by clicking the Add button or selecting the Add column item in the context menu of the feature columns. The Remove and Clear buttons (and its corresponding items in the context menus) can be used to delete a single column or to delete all currently used columns, respectively.
Figure: Specifying nodes and features
You might also choose the default arrangement of the nodes and features by pressing the Default button in the button toolbar. All terminal nodes specified in the query will be presented as columns and the default feature (usually the word feature) will be used.
Next, you have to build the table. Press one of the two Build buttons in the upper left or lower right corner, respectively. The statistics table will be filled with feature value information.
Figure: Building the table
The left two columns of the table show the corpus graph ID and the number of the current submatch (Remember that a query can be matched by a corpus graph more than once.). By default, the rows are ordered corresponding to the ordering of the corpus graphs. If you like to change the sort sequence of the rows, consult subsection 8.4.
To adapt the table layout, you can also change the width of a column or change the column ordering with the help of your mouse device.
The default view of the statistical viewer is the Corpus view, i.e. the rows are ordered with respect to the corpus graph ordering. However, to analyze the data it is sometimes helpful to group indentical rows and display their frequency. To switch to the Frequency view click on the Frequency button.
Figure: The frequency view
Now the left column shows the number of occurences of the rows displayed in the table. The rows are ordered by frequency.
The ordering of the table rows in both Corpus View and Frequency View can be changed easily. Just double-click on the upper border of the column you like to select as the sort sequence column. Or select the Sort by column item in the context menu of the column headline (activated by a right button mouse click on the column headline). In the following example, the second column has been selected. If you double-click the column again, the rows are sorted in reverse order.
Figure: Changing the sort sequence
If you select the Sort by column item in the context menu of the GraphID or Submatch column within the Frequency View, the default ordering of the table will be restored.
If you are simultaneously working with the GraphViewer and the Statistical Viewer, you can easily switch between these two views using the shortcut icons in the lower left corner of both windows.
However, the two windows have also been designed to communicate with each other. The match currently displayed in the stattistical viewer will be displayed and highlighted in the GraphViewer by double-clicking the corresponding row (mouse device must be on the graph ID or submatch column) or by selecting the Open match in GraphViewer item in the context menu of the row (activated by a right mouse button click on the graph ID or submatch column).
To export the statistics, first mark the rows you want to export. Use the mouse to mark the rows or select the Mark all item in the context menu. To unselect the marked rows, just select the Clear selection item in the context menu. Click the export button to display the export dialogue window.
Figure: Exporting the results
We have implemented three export formats:
Text format
Columns are separated by tabs, rows are separated by carriage return.
XML format
The data is exported in an XML-based format that can be used for further processing.
Excel format
The data is exported as an Microsoft Excel table.
As an alternative, you can also copy the text format output into the clipboard. Just select the Copy button in the button toolbar.