Atribución 4.0 InternacionalSisto, Mirella DeHernández Lorenzo, LauraRosa, Javier de laRos Muñoz, SalvadorGonzález Blanco, Elena2024-07-312024-07-312024-02-07Mirella De Sisto, Laura Hernández-Lorenzo, Javier De la Rosa, Salvador Ros, Elena González-Blanco, Understanding poetry using natural language processing tools: a survey, Digital Scholarship in the Humanities, Volume 39, Issue 2, June 2024, Pages 500–521, https://doi.org/10.1093/llc/fqae0012055-768Xhttps://doi.org/10.1093/llc/fqae001https://hdl.handle.net/20.500.14468/23169Analyzing poetry with automatic tools has great potential for improving verse-related research. Over the last few decades, this field has expanded notably and a large number of tools aiming at analyzing various aspects of poetry have been developed. However, the concrete connection between these tools and traditional scholars investigating poetry and metrics is often missing. The purpose of this article is to bridge this gap by providing a comprehensive survey of the automatic poetry analysis tools available for European languages. The tools are described and classified according to the language for which they are primarily developed, and to their functionalities and purpose. Particular attention is given to those that have open-source code or provide an online version with the same functionality. Combining more traditional research with these tools has clear advantages: it provides the opportunity to address theoretical questions with the support of large amounts of data; also, it allows for the development of new and diversified approaches.eninfo:eu-repo/semantics/openAccess57 Lingüística::5701 Lingüística aplicada::5701.07 Lengua y literatura55 Historia::5505 Ciencias auxiliares de la historia::5505.10 FilologíaartículoPoetry analysisNatural Language ProcessingComputational Literary Studies