This paper describes the DISCO corpus and how it complements available digital materials for poetry in Spanish in several respects: First, the author and period range. Second, metadata concerning the authors and their works expressed in TEI-RDFa, given the importance of interoperability between literary datasets and the advantages of Linked Open Data as a paradigm. Finally, example findings that can be obtained with our corpus are provided, regarding metrical patterns diachronically.
Main goals: a) Develop Tools for automatic poetry analysis, largely based on Natural Language Processing. b) Carry out the detection of literary phenomena relied on linguistic characteristics.
