The article describes a query system on texts and literary material with advanced information retrieval tools suitable to retrieve the content of a text, either as material specifically organized with respect to linguistic, stylistic and rethoric features, and in its historical, social and cultural context. As a test bed we chose the Dante's characters of al di là. This method of investigation ...

The exploration and analysis of literary corpora is a difficult task. Previous approaches to this problem focused on mining data directly from text. However, these solutions do not aid researchers who are interested in learning spoken features of the text, which play an important role in poetic works. VerseVis is a text visualization tool that gives users the ability to identify interesting tex...

We consider the task of predicting how literary a text is, with a gold standard from human ratings. Aside from a standard bigram baseline, we apply rich syntactic tree fragments, mined from the training set, and a series of hand-picked features. Our model is the first to distinguish degrees of highly and less literary novels using a variety of lexical and syntactic features, and explains 76.0 %...

Modern text linguistics pays serious attention to the significant structural elements of the text, which carry special knowledge. Such structural elements include the title. In this article, the title is considered as a linguistic and cognitive characteristic and a spatially fixed structural element of the text – «frame», which is located around/before/behind the text, focusing on the importanc...