Persona: Hernández Lorenzo, Laura
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Hernández Lorenzo
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Laura
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Publicación Una primera aproximación a los géneros literarios de la obra cervantina desde la estilometría y el análisis de redes(Universidad de Valencia, 2023) Hernández Lorenzo, LauraSiguiendo la línea de estudios previos que aplican métodos estilométricos para el estudio de cuestiones estilísticas no autoriales, en este trabajo se realiza una primera aproximación a la obra de Miguel de Cervantes. Mediante la combinación de la estilometría y del análisis de redes, se pretende explorar las relaciones entre sus obras y determinar qué papel juegan la periodización de estas, así como los diferentes géneros literarios que abarcan. Los resultados obtenidos, si bien no muestran una señal cronológica clara, ponen de manifiesto que es posible detectar relaciones de género literario de forma automática a través de estas metodologías. Se realizan, además, nuevas aportaciones sobre las características genéricas de obras concretas, que abren novedosas vías de investigación para el futuro.Publicación Stylistic Change in Early Modern Spanish Poetry Through Network Analysis (with an Especial Focus on Fernando de Herrera’s Role)(Springer, 2022-04-01) Hernández Lorenzo, LauraEarly Modern Spanish literature, also known as Golden Age Spanish literature, is a well-established period in the History of Spanish literary tradition, covering from the beginning of the sixteenth century to the end of the seventeenth century, from Renaissance to Baroque works. In the case of poetry, the stylistic change from one aesthetic to the other has been examined from a historical point of view, with some scholars considering a transitional group of poets between both stylistic movements, and many pointing to the writer Fernando de Herrera (1534–1597) as a bridge between the Renaissance style of Garcilaso de la Vega (1501–1536) and the Baroque of Luis de Góngora (1561–1627). This paper examines the stylistic change from Renaissance to Baroque in Spanish poetry and Herrera’s place on it from a quantitative, computational point of view, applying a methodology which combines Stylometry and Network Analysis to a big corpus of poems and authors writing in this period. The resulting stylometric network for Renaissance and Baroque poetry proves there is a computationally measurable chronological evolution in the texts of this period, as well as a change of style from Renaissance to Baroque, and supports the existence of a transitional group of poets between these two literary movements, one of which is Fernando de Herrera.Publicación Introducción al panorama internacional de las Humanidades Digitales(Centro Asociado de la UNED en Sevilla, 2022-05-01) Hernández Lorenzo, LauraEste trabajo presenta un estado de la cuestión del panorama internacional de las Humanidades Digitales con el objetivo de trazar y resaltar algunas de sus claves dentro de la inmensa bibliografía existente. De este modo, aspira a actuar como guía para los humanistas que deseen introducirse en este ámbito de investigación, y a servir como continuación y actualización de trabajos anteriores de otros investigadores. Con este fin, se divide en dos secciones: un primer apartado, que consta de una aproximación a la definición de las Humanidades Digitales y de sus principales características, además de una exposición de los organismos y asociaciones más relevantes alrededor de los cuales se organiza la comunidad investigadora; y un segundo apartado, con un breve repaso histórico de la disciplina a través de sus principales hitos desde sus inicios hasta la actualidad.Publicación A bridge too far for artificial intelligence?: Automatic classification of stanzas in Spanish poetry(Wiley, 2022) Pérez Pozo, Álvaro; Rosa, Javier de la; Ros Muñoz, Salvador; González Blanco, Elena; Hernández Lorenzo, Laura; Sisto, Mirella deThe rise in artificial intelligence and natural language processing techniques has increased considerably in the last few decades. Historically, the focus has been primarily on texts expressed in prose form, leaving mostly aside figurative or poetic expressions of language due to their rich semantics and syntactic complexity. The creation and analysis of poetry have been commonly carried out by hand, with a few computer-assisted approaches. In the Spanish context, the promise of machine learning is starting to pan out in specific tasks such as metrical annotation and syllabification. However, there is a task that remains unexplored and underdeveloped: stanza classification. This classification of the inner structures of verses in which a poem is built upon is an especially relevant task for poetry studies since it complements the structural information of a poem. In this work, we analyzed different computational approaches to stanza classification in the Spanish poetic tradition. These approaches show that this task continues to be hard for computers systems, both based on classical machine learning approaches as well as statistical language models and cannot compete with traditional computational paradigms based on the knowledge of experts.Publicación Rantanplan, Fast and Accurate Syllabification and Scansion of Spanish Poetry(Sociedad Española para el Procesamiento del Lenguaje Natural, 2020-09) Rosa, Javier de la; Pérez Pozo, Álvaro; Hernández Lorenzo, Laura; Ros Muñoz, Salvador; González Blanco, ElenaAutomated analysis of Spanish poetry corpora lacks the richness of tools available for English. The existing options suffer from a number of issues: are limited to fixed-metre hendecasyllabic verses, are not publicly available, the syllabification procedure underneath is not thoroughly tested, and their speed is questionable. This paper introduces new methods to alleviate these concerns. For syllabification, we contribute with our own method and manually crafted corpus. For scansion, our approach is based on a heuristic for the application of rhetorical figures that alter metrical length. Experimental evaluation shows that both fixed-metre and mixed-metre poetry can be successfully analyzed, producing metrical patterns more accurately (increasing accuracy by 2% and 15%, respectively), and at a fraction of the time other methods need (running at least 100 times faster).Publicación Humanidades Digitales y Literatura española: 50 años de repaso histórico y panorámica de proyectos representativos(Universidade da Coruña: SIELAE, 2020-10-31) Hernández Lorenzo, LauraEste trabajo presenta un estado de la cuestión de las aplicaciones de las Humanidades Digitales a la Literatura española a través de un repaso histórico de los últimos 50 años y una panorámica de principales proyectos y líneas de investigación en este ámbito. Con este fin, la emergencia e historia de las Humanidades Digitales en España se organiza en tres fases: los orígenes (1970-2011), hacia la institucionalización (2011-2015) y consolidación y nuevos retos (2015-2020). Debido a la amplitud y variedad de los proyectos existentes, se aspira a ofrecer una muestra significativa de los más relevantes en términos de actualidad, interés para el estudio de la Literatura española (con especial atención al Siglo de Oro), visibilidad, y acceso abierto, a través de cuatro categorías fundamentales: bases de datos, bibliotecas digitales, ediciones digitales y enfoques cuantitativos.Publicación 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, ElenaThe 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.Publicación 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.