Article information

2022 , Volume 27, ¹ 2, p.122-137

Kozhemyakina O.Y.

Conceptual design of the software system for automated complex analysis of poetic texts

The paper presents the process of conceptual design and implementation of the software system for automated complex analysis of poetic texts. At the design stage, the tasks that the information system for presenting the results of complex analysis of poetic texts is designed to solve, as well as the requirements in order of priority for the software system. The developed system combines heterogeneous information about the results of the analysis of poetic texts obtained at each of the presentation levels. Based on the needs of potential users, the following tasks have been solved: the description of the external interacting elements of the system has been completed; the conceptual description of the system has been formulated; the interface for accessing the information system storage has been developed; the graphical interface of the information system has been implemented. The results of the work showed the fundamental possibility of integrating the system components. The convenient tool for philologists to automate the complex analysis of poetic texts in Russian has been created.

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Keywords: natural language processing, software system design, text analysis information system

doi: 10.25743/ICT.2022.27.2.010

Author(s):
Kozhemyakina Olga Yurievna
PhD.
Position: Senior Research Scientist
Office: Federal Research Center for Information and Computational Technologies
Address: 630090, Russia, Novosibirsk, Academician M.A. Lavrentiev avenue, 6
Phone Office: (383) 330-78-26
E-mail: olgakozhemyakina@mail.ru

References:

[1] Gitt W. Ordnung und information in technik und natur. Gitt W. (Hrsg.): Am Anfang war die Information. Gr¨afeling: Resch KG; 1982: 171–211. (In German)

[2] Shannon C.E. A mathematical theory of communication. Bell System Technical Journal. 1948; 27(3):379–423.

[3] Ozhegov S.I. Tolkovyi slovar’ russkogo yazyka [Explanatory dictionary of the Russian language]. Moscow: Mir i Obrazovanie, Oniks; 2011: 736. (In Russ.)

[4] Lotman Yu.M. Struktura khudozhestvennogo teksta [The structure of a literary text]. Moscow: Iskusstvo; 1970: 384. (In Russ.)

[5] Magomedova D.M. Filologicheskiy analiz liricheskogo stikhotvoreniya [Philological analysis of lyric poems]. Moscow: Akademiya; 2004: 187. (In Russ.)

[6] Taranovskiy K.F. O vzaimootnoshenii stikhotvornogo ritma i tematiki [About the relationship between poetic rhythm and thematics]. In: Taranovsky K. About poetry and poetics. Moscow: Yazyki Russkoy Kul’tury; 2000: 372–403. (In Russ.)

[7] Hayward M. Analysis of a corpus of poetry by a connectionist model of poetic meter. Poetics. 1996; 24(1):1–11. Available at: http://www.english.iup.edu/mhayward/Metrics/ Cormetrics.htm.

[8] Lapshina N.V., Romanovich I.K., Yarkho B.I. Metricheskiy spravochnik k stikhotvoreniyam A.S. Pushkina [Metrical Guide to the poems by A.S. Pushkin]. Moscow, Leningrad: Academiya; 1934: 144. (In Russ.)

[9] Samoylov D. Kniga o russkoy rifme [Book about Russian rhyme]. Moscow: Khudozhestvennaya Literatura; 1982: 351. (In Russ.)

[10] Stemmer of the company “Yandex”. Available at: https://tech.yandex.ru/mystem.

[11] Shokin Yu.I., Fedotov A.M., Barakhnin V.B. Problemy poiska informatsii [Problems of information retrieval]. Novosibirsk: Nauka; 2010: 196. (In Russ.)

[12] Kozmin A.V. Automatic analysis of verse into the Starling system. Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialogue 2006”. Moscow; 2006: 265–268. (In Russ.)

[13] The project “The Tower of Babel”. Available at: http://starling.rinet.ru/indexru.htm (In Russ.)

[14] Analiz poeticheskikh tekstov onlayn [The analysis of poetic texts online]. Available at: http: //poem.ict.nsc.ru. (In Russ.)

[15] Barakhnin V.B., Kozhemyakina O.Yu., Zabaykin A.V., Hayatova V.D. Automation of complex analysis of Russian poetic text: models and algorithms. Vestnik NGU. Seriya: Informatsionnye Tekhnologii. 2015; 13(3):5–18. (In Russ.)

[16] Boikov V.N., Karyaeva M.S., Sokolov V.A., Pilschikov A.I. About automatic specification of the verse in the information-analytical system. CEUR Workshop Proceedings. 2015; (1563):144–151. Available at: http://ceur-ws.org/Vol-1536/paper22.pdf. (In Russ.)

[17] Pilshchikov I.A., Starostin A.S. Osnovnye problemy avtomatizatsii bazovykh protsedur ritmiko-sintaksicheskogo analiza sillabo-tonicheskikh tekstov. Natsional’nyy korpus russkogo yazyka: 2006–2008. Novye rezul’taty i perspektivy [The main problems of automation of basic procedures of rhythmic-syntactic analysis of syllabotonic texts. National Corpus of the Russian language: 2006–2008. New results and prospects]. Sankt-Peterburg: Nestor-Istoriya; 2009: 298–315. (In Russ.)

[18] Pilshchikov I.A., Starostin A.S. The problem of automatic meter recognition: syllabotonics, dolnik, taktovik. Russian poetry: 100-year results and prospects of development. International Scientific Conference Proceedings. November 25–27, 2010. St. Petersburg; 2010: 397–406. (In Russ.)

[19] Pilshchikov I., Starostin A. Reconnaissance automatique des m?tres des vers russes: une approche statistique sur corpus. Langages. 2015; 3(199):89–106. (In French)

[20] Zapis’ doklada A.S. Starostina “Instrumental’naya sreda dlya raboty s russkoyazychnymi stikhotvornymi korpusami i ikh spetsializirovannoy razmetkoy” [Report by A.S. Starostin “Instrumental environment for working with Russian-language poetic corpuses and their specialized markup”]. Available at: https://youtu.be/TUWIzxtveNY. (In Russ.)

[21] Barakhnin V.B., Kozhemyakina O.Yu., Pastushkov I.S. Comparative analysis of methods of automated classification of poetic texts based on lexical signs. CEUR Workshop Proceedings. 2017; (2022):252–257. Available at: http://ceur-ws.org/Vol-2022/paper41.pdf (accessed 25.09.2018). (In Russ.)

[22] Bulygin M.V., Sharoff S.A. Using machine translation for automatic genre classification in Arabic. Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialogue 2006”. 2006: 153–162.

[23] Loukachevitch N.V., Rusnachenko N. Extracting sentiment attitudes from analytical texts. Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialogue 2018”. 2018: 459–468. Available at: https://www.dialog-21. ru/media/4317/loukachevitchnv_rusnachenkon.pdf.

[24] Polyakov A.Y., Pilschikov I.A., Bergelson M.B. Konkordans k tekstam Lomonosova — kontseptsiya i realizatsiya [Lomonosov concordance — concept and implementation]. Available at: http://www.dialog-21.ru/digests/dialog2009/materials/html/61.htm. (In Russ.)

[25] Polyakov A.Y., Pilschikov I.A., Bergelson M.B. Konkordans k tekstam Lomonosova [Lomonosov concordance]. Available at: http://feb-web.ru/feb/lomoconc/abc. (In Russ.)

[26] Delmonte R. Computing poetry style. Proceedings of 1st International Workshop ESSEM 2013. CEUR Workshop Proceedings. 2013; (1096):148–155.

[27] The project SPARSAR. Available at: www.sparsar.wordpress.com.

[28] Bacalu C., Delmonte R. Prosodic modeling for speech recognition. Atti del Workshop AI*IA — “Elab.Ling.e Ric.” IRST Trento; 1999: 45–55.

[29] The project Metricalizer. Available at: https://metricalizer.de.

[30] Bobenhausen K., Hammerich K. Literary metrics, linguistic metrics, and the algorithmic analysis of German poetry using Metricalizer. Languages. 2015; 199(3):67–87. DOI:10.3917/lang.199.0067.

[31] Barakhnin V.B., Kozhemyakina O.Yu., Borzilova Yu.S. The development of the information system of the representation of the complex analysis results for the poetic texts. Vestnik NGU. Seriya: Informatsionnye Tekhnologii. 2019; 17(1):5–17. DOI:10.25205/1818-7900-201917-1-5-17. (In Russ.)

[32] Barakhnin V.B., Kozhemyakina O.Yu., Mukhamediev R.I., Borzilova Yu.S., Yakunin K.O. The design of the structure of the software system for processing text document corpus. Business Informatics. 2019; 13(4):60–72. DOI:10.17323/1998-0663.2019.4.60.72.

[33] Barakhnin V.B., Kozhemyakina O.Yu., Rychkova E.V., Gladkikh A.S., Pastushkov I.S. Software for learning to solve problems of classification using of machine learning. European Proceedings of Social & Behavioural Sciences. 2018; (XLIX):106–112. DOI:10.15405/epsbs.2018.11.02.12.

[34] Metodologiya funktsional’nogo modelirovaniya IDEF0. Rukovodyashchiy dokument. [The methodology of functional modeling IDEF0. Th guidance document]. Available at: https: //nsu.ru/smk/files/idef.pdf. (In Russ.)

[35] Barakhnin V.B., Kozhemyakina O.Yu., Borzilova Yu.S. Russkie poeticheskie teksty i ikh kompleksnye stikhovedcheskie metadannye. Svidetel’stvo o gosudarstvennoy registratsii bazy dannykh No. 2020621889 ot 15.10.2020 g. [Russian poetic texts and their complex poetic metadata. Certificate of state registration of the database No. 2020621889 dated 15.10.2020]. Available at: https://www.fips.ru/ofpstorage/Doc/PrEVM/RUNWDB/000/002/ 020/621/889/2020621889-00001/document.pdf. (In Russ.)

[36] GOST R 7.0.10-2010 (ISO 15836:2003). Nabor elementov metadannykh “Dublinskoe yadro” [GOST standard R 7.0.10-2010 (ISO 15836:2003). Set of metadata elements “Dublin Core”]. 2011-07-01. Moscow: Standartinform; 2011: 12. (In Russ.)

[37] The Dublin Core metadata initiative. Available at: http://dublincore.org.

[38] Elektronnye publikatsii Instituta russkoy literatury (Pushkinskogo Doma) RAN [Electronic publications of the Institute of Russian Literature (Pushkin’s House)]. Available at: http: //lib.pushkinskijdom.ru. (In Russ.)

[39] Maglinets Yu.A. Analiz trebovaniy k informatsionnym sistemam [The analysis of information system requirements]. Available at: https://ivan-shamaev.ru/wp-content/uploads/ 2013/06/Information-systems-analysis-and-requirements-analysis.pdf. (In Russ.)

[40] IEEE recommended practice for software requirements specifications. Available at: https: //ieeexplore.ieee.org/document/720574.

[41] Business process model and notation. Available at: http://www.bpmn.org.

[42] Unified modelling language. Available at: http://www.uml.org.

[43] Barakhnin V.B., Kozhemyakina O.Yu. About the automation of the complex analysis of Russian poetical text. CEUR Workshop Proceedings. 2012; (934):167–171. Available at: http://ceur-ws.org/Vol-934/paper27.pdf. (In Russ.)

Bibliography link:
Kozhemyakina O.Y. Conceptual design of the software system for automated complex analysis of poetic texts // Computational technologies. 2022. V. 27. ¹ 2. P. 122-137
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