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Understanding poetry using natural language processing tools: a survey

  • Mirella De Sisto
  • , Laura Hernández Lorenzo
  • , Javier De la Rosa
  • , Salvador Ros
  • , Elena González-Blanco

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    Analyzing 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.

    Original languageEnglish
    Pages (from-to)500-521
    Number of pages22
    JournalDigital Scholarship in the Humanities
    Volume39
    Issue number2
    DOIs
    Publication statusPublished - 1 Jun 2024

    Keywords

    • Computational Literary Studies
    • Natural Language Processing
    • Poetry analysis

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