A computational linguistic approach to Spanish Golden Age Sonnets: metrical and semantic aspects

Abstract

Several computational linguistics techniques are applied to analyze a large corpus of Spanish sonnets from the 16th and 17th centuries. The analysis is focused on metrical and semantic aspects. First, we are developing a hybrid scansion system in order to extract and analyze rhythmical or metrical patterns. The possible metrical patterns of each verse are extracted with language-based rules. Then statistical rules are used to resolve ambiguities. Second, we are applying distributional semantic models in order to, on one hand, extract semantic regularities from sonnets, and on the other hand to group together sonnets and poets according to these semantic regularities. Besides these techniques, in this position paper we will show the objectives of the project and partial results.

The Linguistic Structure of Haiku/Senryu and Its Evolution Over Time

“…Metaphor is of course used in many forms of poetry, and rule-based and statistical models have enabled the classification of metaphor in a corpus of English language poems (Kesarwani, Inkpen, Szpakowicz and Tanasecu (2017). Other models have enabled the detection of metaphor in expressionistic German poems (Reinig & Rehbein, 2019), identification of features that the predict period of origin, authorship, and goodness ratings (Jacobs & Kinder, 2017), and the differentiation of metaphor created by renowned poets and non-professional authors (Jacobs & Kinder, 2018). Additional examples of CL methods that have been used to study poetry include the detection of emotion in Punjabi poetry using Naive Bayesian and Support Vector Machine techniques (Saini & Kaur, 2020), stanza identification in Hindi poetry (Audichya & Saini, 2021), probabilistic topic modeling to study topic, meter, and authorship in Persian poems (Asgari & Chappelier, 2013), statistical and rule-based methods to determine the metrical and semantic aspects of 16th- and 17th-century Spanish Golden Age sonnets (Navarro-Colorado, 2015), and enjambment detection in a large diachronic corpus of Spanish sonnets (Ruiz, Canton, Poibeau & Gonzalez-Blanco, 2017).…”

A vershangzás jellemzőinek automatikus feltárása József Attila verseiben

“…A Scandroid program módosított, nagy adatmennyiségen lefuttatható változatát használja Chris Tanasescu, Bryan Paget és Diana Inkpen, akiknek a kutatása angol nyelvű versek ritmus és rím alapján történő automatikus osztályozására irányul. 4 Az úgyszintén angol nyelvű versek elemzésére fejlesztett ZuScansion nevű eszköz a Scandroidtól eltérően a jambikus és anapesztikus metrumok mellett egyéb metrumok 8 A korpuszban egy erre fejlesztett programmal automatikusan annotálják a verssorokban a hangsúlyos és hangsúlytalan szótagokat, a nem egyértelmű ritmusú, többféleképpen is annotálható verssorokat pedig manuálisan ellenőrzik. Érdemes megemlíteni a Cseh Tudományos Akadémia által fejlesztett Cseh verskorpuszt (Korpus českého verše) is, amely közel 80 000 annotált verset tartalmaz a 19. századból és a 20. század elejéről.…”

Supervised Machine Learning for Hybrid Meter

“…One approach takes a known meter and assigns syllables to stress patterns based on such parameters (Hartman, 1996). The second approach assumes nothing of the meter, and seeks to determine it by marking syllables and identifying patterns (Plamondon, 2006;McAleese, 2007;Greene et al, 2010;Agirrezabal et al, 2013;Navarro, 2015).…”