2016
DOI: 10.1515/glot-2016-0013
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Czech Verse Processing System KVĚTA – Phonetic and Metrical Components

Abstract: The following paper describes the algorithms of phonetic and metrical components of the Czech verse processing system KVĚTA, updating information contained in previous reports (

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Cited by 5 publications
(4 citation statements)
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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%
“…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%
“…Lemmatisation and POS-tagging were performed using the MorphoDiTa tagger (Straková et al 2014). Metrical recognition was achieved via the metrical tagger KVĚTA (Plecháč 2016).…”
Section: Acknowledgementsmentioning
confidence: 99%
“…Metre and stress annotation -Based on manually annotated samples, the accuracy of metrical recognition in the CS corpus was estimated at 0.95 (Plecháč 2016). -Navarro-Colorado (2017) extracted a random sample of 100 sonnets from the ES corpus, and this was manually annotated by three subjects.…”
Section: Tagging Accuracymentioning
confidence: 99%
“…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.…”
mentioning
confidence: 99%