Abundantia Verborum

3. Tutorial

As was sketched in section 2.1 What is Abundantia Verborum ?, Abundantia Verborum supports the carrying out of linguistic case studies in three steps:

  1. retrieving data from text corpora
  2. manipulating and classifying the retrieved data
  3. performing statistical analyses on those data
This chapter is a tutorial. Its purpose is to make the reader familiar with the overall functioning of the program, without ever going into too much detail. The chapter follows the above division to guide the reader through the program, hereby demonstrating what could be seen as the canonical way of using the program. It should be clear from the start, though, that this framework is a simplification. In practice the three steps can and even should overlap. Moreover, there are many less canonical ways of using the program in which the above division is completely blurred. We trust that users who will have progressed to more advanced uses of the program, will still appreciate the didactic bias of the present pages.

As a tutorial should, this chapter contains many instructions. We invite, and even strongly recommend you to try them out. You should have access to an installed version of Abundantia Verborum in order to be able to do so. If this is not the case yet, you should look back at 2.2 Installing and running the program. If you would happen to have an old version of the program, then the example files used in this tutorial may not be present. If so, you should run the latest version of the installation program, as explained in 2.2 Installing and running the program.

The structure of chapter Three is given below.

3. Tutorial

  1. Getting the data
    1. Using queries
    2. A first query
    3. Queries with Boolean operators
    4. Queries with wildcards
    5. Virtual corpora
    6. Query settings
  2. Classifying the data
    1. Using labels
    2. Adding labels via queries
    3. Adding labels via filters
    4. Adding labels via zooming
    5. Manually adding labels
    6. Label taxonomies
  3. Displaying statistics
    1. Using diagrams
    2. Venn, Hasse and Schematic diagrams
    3. The display threshold
    4. Diagrams and implied labels
    5. Filtered diagrams
    6. Zooming in on diagram parts

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