Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanit 2017
DOI: 10.18653/v1/w17-2204
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Enjambment Detection in a Large Diachronic Corpus of Spanish Sonnets

Abstract: Enjambment takes place when a syntactic unit is broken up across two lines of poetry, giving rise to different stylistic effects. In Spanish literary studies, there are unclear points about the types of stylistic effects that can arise, and under which linguistic conditions. To systematically gather evidence about this, we developed a system to automatically identify enjambment (and its type) in Spanish. For evaluation, we manually annotated a reference corpus covering different periods. As a scholarly corpus … Show more

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Cited by 5 publications
(4 citation statements)
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“…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).…”
Section: What Is Haiku?mentioning
confidence: 99%
“…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).…”
Section: What Is Haiku?mentioning
confidence: 99%
“…Poetry analysis. Computational analysis of poetry has been concerned largely with formal features such as metre (Greene et al, 2010;Agirrezabal et al, 2016;Estes and Hench, 2016), rhyme (Reddy and Knight, 2011;Haider and Kuhn, 2018), and enjambment (Ruiz et al, 2017;Baumann et al, 2018). More recently, higher-level phenomena, including semantic coherence (Herbelot, 2015), metaphor (Reinig and Rehbein, 2019;Kesarwani et al, 2017), and diachronic analysis of tropes (Haider and Eger, 2019) have come into focus.…”
Section: Related Workmentioning
confidence: 99%
“…Natural language understanding research on poetry has investigated stylistic variation (Kaplan and Blei, 2007;Kao and Jurafsky, 2015;Voigt and Jurafsky, 2013), with a focus on broadly accepted formal features such as meter (Greene et al, 2010;Agirrezabal et al, 2016;Estes and Hench, 2016) and rhyme (Reddy and Knight, 2011;Haider and Kuhn, 2018), as well as enjambement (Ruiz et al, 2017;Baumann et al, 2018) and metaphor (Kesarwani et al, 2017;Reinig and Rehbein, 2019). Recent work has also explored the relationship of poetry and prose, mainly on a syntactic level feelings of Beauty and Sublime have therefore come to be subsumed under the rubrique of aesthetic emotions in recent psychological research (Menninghaus et al, 2019).…”
Section: Poetry In Natural Language Processingmentioning
confidence: 99%