The article presents two case studies on the application of Natural Language Processing (NLP) technologies or Computational Linguistics to create corpus navigation interfaces. These
interfaces help access relevant information for specific research questions in Social Sciences or Humanities. The paper also focuses on how these technologies for automatic text analysis can allow us to enrich scholarly digital editions. The theoretical framework that connects the aforementioned technologies with academic digital edition is described, and a reflection is made on the application of such technologies and interfaces to digital scholarly editing.