Machine Reading Text

Over the last two weeks you have worked with platforms and techniques in which machines read texts in order to investigate text. Stylometry allows us to consider at a comparative and macro level how an author expresses her/himself; and on a micro level, through XML, how the author uses specific terms, descriptions of people and places, and observations about his/her experiences. On a macro-level you have produced dendrograms based on d- and z-values in your corpus; and you have also begun to learn XML-compliant TEI markup.

How has the process of stylometry and marking up affected your understanding of the corpus?

In your response to these questions please include at least three points made by Elena Pierazzo in her article, “A Rationale of Digital Documentary Editions” – in particular, how she considers the richness of the marked up text as a form of intellectual engagement with its interpretation. As well, include at least two illustrative screenshots; a dendrogram, and a shot of your marked up text in the <oXygen/> editing environment that illustrate your argument.

Give your post the category “machine reading″ and at least five tags that help you to explain your work. In addition, choose one of your classmates’ posts and give them feedback in the Comment box. Your comment should be 75 words in length and respond to a specific argument that is made in the post. For example, your comment might identify a correlation between your own post and one you see in your classmate’s work.