Maintained by: David J. Birnbaum (djbpitt@gmail.com) Last modified: 2019-08-24T22:25:46+0000
Perspectives on computer programming for the humanities.Originally published in Text technology 7, 1: 1–17 with an updated version available on this project site.
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Analitika i upravlenija dannymi v oblastjax s intensivnyv pol′zovaniem dannyx. Obninsk 13–16 oktjabrja 2015 goda.pp. 138–43. http://ceur-ws.org/Vol-1536/paper21.pdf
Mednyj vsadnik. Moscow: Federacija.
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Automated approach for rhythm analysis of French literary texts.Proceeding of the 15th conference of FRUCT association. (Finnish-Russian University Cooperation in Telecommunications.) pp. 15–23. https://fruct.org/publications/fruct15/files/Boy.pdf
Avtomatičeskij analiz metriki russkogo stixa.AKD. http://cheloveknauka.com/avtomaticheskiy-analiz-metriki-russkogo-stiha
O rifme.Review of: В. Žirmunskij. Rifma, ee istorija i teorija. Voprosy poètiki (Rossijskij institut istorii iskusstv), vyp. 2. Petrograd: Academia, 1923. Pecat′ i revoljucija 1924, 1.http://dugward.ru/library/brusov/brusov_o_rifme.html
On the Romanian rhyme detection.2012. Proceedings of COLING 2012: Demonstration papers, pp. 87–94, COLING 2012, Mumbai, December 2012. http://www.aclweb.org/anthology/C12-3011
Rhythmic entropy as a measure of rhythmic diversity (The example of the Russian iambic tetrameter).Studia metrica et poetica 3.1, 2016, 33–52. doi: dx.doi.org/10.12697/smp.2016.3.1.02. http://ojs.utlib.ee/index.php/smp/article/view/smp.2016.3.1.02
Automatic analysis of rhythmic poetry with applications to generation and translation.Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, MIT, Massachusetts, USA, 9-11 October 2010. pp. 524–533, http://tinyurl.com/hvcu65u
Poètičeskij korpus v ramkax Nacional′nogo korpusa russkogo jazyka: obščaja struktura i perspektivy issledovanija.http://ruscorpora.ru/sbornik2008/05.pdf.
Using automated rhyme detection to characterize rhyming style in rap music.Empirical musicology review, vol. 5, no. 4. 121–45.https://kb.osu.edu/dspace/bitstream/handle/1811/48548/EMR000091a-Hirjee_Brown.pdf
Analysis of a phonetic and rule based algorithm approach to determine rhyme categories and patterns in verse.M.S. diss., Open University. (Technical report no 2007/23.) http://computing-reports.open.ac.uk/2007/TR2007-23.pdf
Plan issledovanija o stixosloženii Puškina i slovarja puškinskix rifm.Puškin i ego sovremenniki: materialy i issledovanija, vyp. 3. St. Petersburg: Komissija dlja izdanija sočinenij Puškina pri Otdelenii russkogo jazyka i slovesnosti Imperatorskoj akademii nauk. 111–34. http://feb-web.ru/feb/pushkin/serial/ps3/ps321112.htm
Avtomatičeskij analiz stixa v sisteme STARLNG.Proceedings of Dialog 2006. http://www.dialog-21.ru/digests/dialog2006/materials/html/Kozmin.htm
The Russian iambic tetrameter: The problem of description (Prolegomena to a new paradigm).Studia metrica et poetica 3.2, 2016, 99–127. doi: dx.doi.org/10.12697/smp.2016.3.2.04 http://ojs.utlib.ee/index.php/smp/article/view/smp.2016.3.2.04
RhymeDesign: a tool for analyzing sonic devices in poetry.Proceedings of NAACL-HLT fourth workshop on computational linguistics for literature Denver, Colorado, June 4, 2015, pages 12–22. Available on line at http://svivek.com/research/publications/McCurdySrMe2015.pdf and https://www.cs.utah.edu/~miriah/publications/rhyme-design.pdf.
Grammatical rhymes in Polish poetry: A quantitative analysis.Digital scholarship in the humanities, vol. 30, no. 4. 589–98. http://dsh.oxfordjournals.org.pitt.idm.oclc.org/content/digitalsh/30/4/589.full.pdf
Automated analysis of poetic texts and the problem of verse meter.Current trends in metrical analysis. Bern; Berlin [etc.]. pp. 133–40. (Littera: Studies in language and literature = Studien zur Sprache und Literatur; Vol. / Bd. 2). https://www.academia.edu/11465157/Automated_Analysis_of_Poetic_Texts_and_the_Problem_of_Verse_Meter
Avtomatičeskoe raspoznavanie metra: problemy i rešenija.Slavjanskij stix, v. 9. pp. 492–98. M.: Rukopisnye pamjatniki Drevnej Rusi. http://tinyurl.com/glu642k
Semantic halo of a meter: a keyword-based approach.Computational linguistics and intellectual technologies: proceedings of the international conference
Dialogue 2017, Moscow, May 31–June 3, 2017. http://www.dialog-21.ru/media/3936/piperskiach.pdf.
Automated analysis of Bangla poetry for classification and poet identification.Presented at ICON-2015: International Conference on NLP. https://www.cse.iitb.ac.in/~pb/papers/icon15-poet-identification.pdf.
To separate or not to separate: Stanza boundaries and poetic structure.Studia metrica et poetica 3.2, 2016, 32–49. doi: dx.doi.org/10.12697/smp.2016.3.2.02 http://ojs.utlib.ee/index.php/smp/article/view/smp.2016.3.2.02
The shortest species: how the length of Russian poetry changed (1750–1921).Studia metrica et poetica 4.1, 2017, 66–84. http://ojs.utlib.ee/index.php/smp/article/view/smp.2017.4.1.03
Strofika Puškina.Puškin: issledovanija i materialy 2. Moscow and Leningrad: AN SSSR. Available on line at http://feb-web.ru/feb/pushkin/serial/is2/is2-049-.htm.
Towards the concept of semantic halo.Studia metrica et poetica 4.2, 2017, 41–66. https://doi: doi.org/10.12697/smp.2017.4.2.03. http://ojs.utlib.ee/index.php/smp/article/view/smp.2017.4.2.03
O slovare rifm Puškina.Vremennik Puškinskoj komisii, 1973. Leningrad: Nauka. 66—71. http://feb-web.ru/feb/pushkin/serial/v75/v75-066-.htm
Charts, graphs, and meaning: Kiril Taranovsky and the study of Russian versification.Slavic and East European journal 59, 2: 178–93.
Frontiers in Comparative Metrics 2, in memoriam Lucyllae Pszczołowskae (April 19–20, 2014, Tallinn University, Estonia). Studia metrica et ooetica 1.2(2014), 144–57. (Conference report.) https://ojs.utlib.ee/index.php/smp/article/download/smp.2014.1.2.07/7071