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Neural approach for rhyming word recommendations

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Języki publikacji
EN
Abstrakty
EN
This research paper deals with the problem of rhyme generation. The project concerns words in the Polish language. Two methods have been proposed to determine whether two words rhyme. A proprietary algorithm was created and three types of neural networks were trained. The efficiency of the methods and the way each of the discussed methods works was compared.
Słowa kluczowe
Rocznik
Strony
1--9
Opis fizyczny
Bibliogr. 19 poz., rys., tab., wykr.
Twórcy
  • Gdańsk University of Technology, ul. Narutowicza11/12, Gdańsk, Poland
  • Gdańsk University of Technology, ul. Narutowicza11/12, Gdańsk, Poland
  • Gdańsk University of Technology, ul. Narutowicza11/12, Gdańsk, Poland
Bibliografia
  • [1] iZotope, “Mastering rhyme schemes in lyric writing,” 2018. Accessed: 2024-12-01.
  • [2] C. Obermeier, W. Menninghaus, M. von Koppenfels, T. Raettig,M. Schmidt-Kassow, and S. A. Kotz, “Aesthetic and emotional effects of meter and rhyme in poetry,”Frontiers in Psychology, vol. 4,p. 10, 2013.
  • [3] O. Vechtomova, G. Sahu, and D. Kumar, “Researchers developreal-time lyric generation technology to inspire song writing,”AIhub, 2021. Accessed: 2024-12-01.
  • [4] A. Popescu-Belis,Atrio, B. Bernath, E. Boisson, T. Ferrari,X. Theimer-Lienhard, and G. Vernikos, “Gpoet: a language modeltrained for rhyme generation on synthetic data,” in Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature,pp. 10–20, Association for Computational Linguistics, 2023.
  • [5] E. Suresh Kumar and P. Sreehari, “Accent, rhythm and intonation,” in A Handbook for English Language Laboratories, pp. 41–66, Foundation Books, 2009.
  • [6] H. Gonçalo Oliveira, A. Cardoso, and F. Pereira, “Tra-la-lyrics:An approach to generate text based on rhythm,” pp. 47–55, 06 2007.
  • [7] P. Gervás, “An expert system for the composition of formal spanish poetry,”Knowledge-Based Systems, vol. 14, pp. 181–188, 06 2001.
  • [8] J. Lau, T. Cohn, T. Baldwin, J. Brooke, and A. Hammond, “Deep-speare: A joint neural model of poetic language, meter and rhyme,” 07 2018.
  • [9] A. Popescu-Belis, R. Atrio, B. Bernath, E. Boisson, T. Ferrari, X. Theimer-lienhard, and G. Vernikos, “Gpoet: a language modeltrained for rhyme generation on synthetic data,” 01 2023.
  • [10] H. Hirjee and D. Brown, “Automatic detection of internal and imperfect rhymes in rap lyrics.,” 01 2009.
  • [11] M. Wentink, “Creating and evaluating a lyrics generator specialized in rap lyrics with a high rhyme density,” February 2023.
  • [12] N. I. Nikolov, E. Malmi, C. Northcutt, and L. Parisi, “Rapformer: Conditional rap lyrics generation with denoising autoencoders,” in Proceedings of the 13th International Conference on Natural Language Generation (B. Davis, Y. Graham, J. Kelleher, and Y. Sripada, eds.), (Dublin, Ireland), pp. 360–373, Association for Computational Linguistics, Dec. 2020.
  • [13] T. Haider and J. Kuhn, “Supervised rhyme detection with Siamese recurrent networks,” in Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (B. Alex, S. Degaetano-Ortlieb, A. Feldman, A. Kazantseva, N. Reiter, and S. Szpakowicz, eds.), (Santa Fe, New Mexico), pp. 81–86, Association for Computational Linguistics, Aug. 2018.
  • [14] P. Minogue, “Using siamese neural networks to create a simple rhyme detection system,” 2021.
  • [15] G. B. Downer and A. C. Graham, “Tone patterns in chinese poetry,”Bulletin of the School of Oriental and African Studies, vol. 26,no. 1, pp. 145–148, 1963.
  • [16] W.-C. Yeh, Y.-C. Chang, Y.-H. Li, and W.-C. Chang, “Rhyming knowledge-aware deep neural network for chinese poetry generation,” in 2019 International Conference on Machine Learning and Cybernetics (ICMLC), pp. 1–6, 2019.
  • [17] I. Kumar and K. Dutta, “Rhyme detection of hindi and rajasthani poems using statistical-based methods,” in2023 IEEE International Conference on Contemporary Computing and Communications (InC4), vol. 1, pp. 1–5, 2023.
  • [18] B. Bay, P. Bodily, and D. Ventura, “Dynamically scoring rhymes with phonetic features and sequence alignment,” in2019 IEEE 31st International Conference on Tools with Artificial Intelligence (IC-TAI), pp. 1581–1585, 2019.
  • [19] Słownik języka polskiego. Wydawnictwo Naukowe PWN, 2023.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4fd12688-2021-45cd-8184-177e48adc411
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