Examinando por Autor "Sisto, Mirella De"

Mostrando 1 - 4 de 4
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    The Automatic Quantitative Metrical Analysis of Spanish Poetry with Rantanplan: A Preliminary Approach
    (ICL CAS, 2021) Hernández Lorenzo, Laura; Sisto, Mirella De; Pérez Pozo, Álvaro; Rosa, Javier de la; Ros Muñoz, Salvador; González Blanco, Elena; Plecháč, P.; Kolár, R.; Bories,A.; Říha, J.
    In this paper, we present a quantitative approach to Spanish poetry and versification based on the application of our own automatic metrical tool, Rantanplan, to the complete poetic works of four early modern Spanish poets. All of the poetry of these four representative authors—Garcilaso de la Vega (1503–1536), Fernando de Herrera (1534–1597), Luis de Góngora (1561–1627), and Lope de Vega (1562–1635)—was automatically processed and stress positions were extracted. Thanks to the development of a new stanza identification feature of Rantanplan, we were able to detect metrical structures as well. By completing a quantitative analysis of the stress positions, line lengths, and stanzas used by each author, we aim to model their complete metrical profiles.
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    Description of Postdata Poetry Ontology V1.0
    (ICL CAS, 2021) Díez Platas, María Luisa; Ros Muñoz, Salvador; González Blanco, Elena; Corcho, Oscar; Khalil Gómez, Omar; Hernández Lorenzo, Laura; Sisto, Mirella De; Rosa, Javier de la; Pérez Pozo, Álvaro; Diez, Aitor; Rodriguez, José Luis; Plecháč, P.; Kolár, R.; Bories,A.; Říha, J.
    One stream of work in the digital humanities focuses on interoperability processes and the description of traditional concepts using computer-readable languages. In the case of literary studies, there has been some research into these topics, but the complexity of the knowledge domain remains an issue. This complexity is based on the different interpretations of concepts in different traditions, the use of isolated and private databases, unique applications of language and, thus, the richness of poetic information. All of this suggests the need to explore new options to represent the complexity in computer-readable language. This paper presents an ontology network designed to capture poetry domain knowledge. The ontologies in question relate to poetic works and their structural and prosodic components.
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    Transformers analyzing poetry: multilingual metrical pattern prediction with transfomer-based language models
    (Springer, 2023) Rosa, Javier de la; Pérez Pozo, Álvaro; Sisto, Mirella De; Hernández Lorenzo, Laura; Díaz Paredes, Aitor; Ros Muñoz, Salvador; González Blanco, Elena
    The splitting of words into stressed and unstressed syllables is the foundation for the scansion of poetry, a process that aims at determining the metrical pattern of a line of verse within a poem. Intricate language rules and their exceptions, as well as poetic licenses exerted by the authors, make calculating these patterns a nontrivial task. Some rhetorical devices shrink the metrical length, while others might extend it. This opens the door for interpretation and further complicates the creation of automated scansion algorithms useful for automatically analyzing corpora on a distant reading fashion. In this paper, we compare the automated metrical pattern identification systems available for Spanish, English, and German, against fine-tuned monolingual and multilingual language models trained on the same task. Despite being initially conceived as models suitable for semantic tasks, our results suggest that transformers-based models retain enough structural information to perform reasonably well for Spanish on a monolingual setting, and outperforms both for English and German when using a model trained on the three languages, showing evidence of the benefits of cross-lingual transfer between the languages.
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    Understanding poetry using natural language processing tools: a survey
    (Oxford University Press, 2024-02-07) Sisto, Mirella De; Hernández Lorenzo, Laura; Rosa, Javier de la; Ros Muñoz, Salvador; González Blanco, Elena
    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.