Métrique littéraire, métrique linguistique et métrique algorithmique de l'allemand mises en jeu dans le programme Metricalizer 2

Bobenhausen, Klemens; Hammerich, Benjamin

doi:10.3917/lang.199.0067

Cited by 16 publications

(6 citation statements)

References 9 publications

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“…Our research uses five metrically annotated poetry collections in normalized orthography, each of which concerns one language tradition: Czech [ 52 , 53 ], Dutch [ 54 ], English [ 55 ], German [ 56 , 57 ] and Russian [ 58 , 59 ]. These collections have disparate sources and vary in size, chronological scope, general composition principles and survivorship bias (the Russian corpus, for example, favors poems that were reprinted in 20th-century scholarly editions).…”

Section: Methodsmentioning

confidence: 99%

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Semantics of European poetry is shaped by conservative forces: The relationship between poetic meter and meaning in accentual-syllabic verse

2022

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Recent advances in cultural analytics and large-scale computational studies of art, literature and film often show that long-term change in the features of artistic works happens gradually. These findings suggest that conservative forces that shape creative domains might be underestimated. To this end, we provide the first large-scale formal evidence of the association between poetic meter and semantics in 18-19th century European literatures, using Czech, German and Russian collections with additional data from English poetry and early modern Dutch songs. Our study traces this association through a series of unsupervised classifications using the abstracted semantic features of poems that are inferred for individual texts with the aid of topic modeling. Topics alone enable recognition of the meters in each observed language, as may be seen from the same-meter samples clustering together (median Adjusted Rand Index between 0.48 and 1 across traditions). In addition, this study shows that the strength of the association between form and meaning tends to decrease over time. This may reflect a shift in aesthetic conventions between the 18th and 19th centuries as individual innovation was increasingly favored in literature. Despite this decline, it remains possible to recognize semantics of the meters from past or future, which suggests the continuity in meter-meaning relationships while also revealing the historical variability of conditions across languages. This paper argues that distinct metrical forms, which are often copied in a language over centuries, also maintain long-term semantic inertia in poetry. Our findings highlight the role of the formal features of cultural items in influencing the pace and shape of cultural evolution.

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Section: Methodsmentioning

confidence: 99%

“…All the collections in our study were metrically pre-annotated on a line-by-line basis using language-specific rule-based algorithms [ 52 , 57 , 58 , 60 ] or manual methods [ 54 ]. Since in all five traditions the dominant versification system is accentual-syllabic, all prosodic patterns and verse organization principles are comparable.…”

Section: Methodsmentioning

confidence: 99%

Semantics of European poetry is shaped by conservative forces: The relationship between poetic meter and meaning in accentual-syllabic verse

2022

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“…Some other examples of these tools for English are AnalysePoems [12], Calliope [13], and Prosodic [14]. Only after the first decade of the twentyfirst century did the tools devoted to scansion in different languages expand: Gunstick [15] for Czech, Metricalizer [16], [17] for German, and De Sisto's work [18] for Dutch. Even a tool for Ancient Greek hexameter [19] was developed.…”

Section: Related Workmentioning

confidence: 99%

Automated Metric Analysis of Spanish Poetry: Two Complementary Approaches

et al. 2021

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The automatic metric analysis (commonly referred to as scansion) of Spanish poetry is not a trivial problem since it combines the nuances of the language, the different poetic traditions related to melodic patterns, and the personal stylistic preferences and intentions of the author. In this paper, we explore two alternative algorithmic approaches tailored to different applications scenarios. The first approach, Rantanplan, is a rule-based method that consists of four Natural Language Processing modules that work together to perform scansion and other related analysis: Part of Speech tagging, syllabification, stress assignment, and metrical adjustment. The second approach, Jumper, explores the possibility of performing scansion without syllabification, with a twofold purpose: to minimize the errors propagated in different parts of the linguistic processing pipeline (including the syllabification step), and to improve the efficiency of the process. Both systems outperform the state of the art and provide either a more informative solution (suitable, for instance, for teaching purposes) or a more efficient processing (when a correct scansion is all the linguistic knowledge required, as in scholar philological studies). The combined use of both systems turns out to provide a practical tool to clean-up manual annotation errors in corpora.

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“…tested the performance of versification-based attribution on three corpora of poetic texts: The Corpus of Czech Verse(Plecháč 2016;Plecháč and Kolár 2015), Metricalizer-the corpus of German Verse(Bobenhausen and Hammerich 2015;Bobenhausen 2011) and the Spanish-language Corpus de Sonetos del Siglo de Oro (Navarro-Colorado, Ribes-Lafoz and Sánchez 2016; Navarro-Colorado 2015). For simplicity, these are denoted as CS, DE and ES respectively.The general characteristics of these corpora are given inTAB.…”

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confidence: 99%

Versification and Authorship Attribution

Plecháč¹,

Šeļa²

2021

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The technique known as contemporary stylometry uses different methods, including machine learning, to discover a poem’s author based on features like the frequencies of words and character n-grams. However, there is one potential textual fingerprint stylometry tends to ignore: versification, or the very making of language into verse. Using poetic texts in three different languages (Czech, German, and Spanish), Petr Plecháč asks whether versification features like rhythm patterns and types of rhyme can help determine authorship. He then tests its findings on two unsolved literary mysteries. In the first, Plecháč distinguishes the parts of the Elizabethan verse play The Two Noble Kinsmen written by William Shakespeare from those written by his coauthor, John Fletcher. In the second, he seeks to solve a case of suspected forgery: how authentic was a group of poems first published as the work of the nineteenth-century Russian author Gavriil Stepanovich Batenkov? This book of poetic investigation should appeal to literary sleuths the world over.

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Métrique littéraire, métrique linguistique et métrique algorithmique de l'allemand mises en jeu dans le programme Metricalizer 2

Cited by 16 publications

References 9 publications

Semantics of European poetry is shaped by conservative forces: The relationship between poetic meter and meaning in accentual-syllabic verse

Semantics of European poetry is shaped by conservative forces: The relationship between poetic meter and meaning in accentual-syllabic verse

Automated Metric Analysis of Spanish Poetry: Two Complementary Approaches

Versification and Authorship Attribution

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