<h2>A closer look at the Corpus Analysis</h2>
<h3>Create a corpus</h3>
<div class="row">
  <div class="col s12 m4">
    <img alt="Create a Corpus" class="materialboxed responsive-img" src="{{ url_for('static', filename='images/manual/create-a-corpus.png') }}">
  </div>
  <div class="col s12 m8">
    <p>
      To <a href="{{ url_for('corpora.create_corpus') }}">create a corpus</a>, you
      can use the "New Corpus" button, which can be found on both, the Corpus
      Analysis Service page and the Dashboard below the corpus list. Fill in the input
      mask to Create a corpus. After you have completed the input mask, you will
      be automatically taken to the corpus overview page (which can be called up
      again via the corpus lists) of your new and accordingly still empty corpus.
    </p>
  </div>
  <div class="col s12">&nbsp;</div>
  <div class="col s12 m4">
    <img alt="Create a Corpus" class="materialboxed responsive-img" src="{{ url_for('static', filename='images/manual/add-corpus-file.png') }}">
  </div>
  <div class="col s12 m8">
    <p>
      Now you can add texts in vrt format (results of the NLP service) to your new
      corpus. To do this, use the "Add Corpus File" button and fill in the form
      that appears. You will get the possibility to add metadata to each text.
      After you have added all the desired texts to the corpus, the corpus must be
      prepared for the analysis, this process can be initiated by clicking on the
      "Build" button. On the corpus overview page you can always see information
      about the current status of the corpus in the upper right corner. After the
      build process the status should be "built".
    </p>
  </div>
</div>

<h3>Analyze a corpus</h3>
<p>
  After you have created and built a corpus, it can be analyzed. To do this,
  use the button labeled Analyze. The corpus analysis currently offers two
  modules, the Reader and the Concordance module. The reader module can be
  used to read your tokenized corpus in different ways. You can select a token
  representation option, it determines the property of a token to be shown.
  You can for example read your text completly lemmatized. You can also change
  the way of how a token is displayed, by using the text style switch. The
  concordance module offers some more options regarding the context size of
  search results. If the context does not provide enough information you can
  hop into the reader module by using the lupe icon next to a match.
</p>
