Neural approach for rhyming word recommendations
The 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, the way each of...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Gdańsk University of Technology
2025-04-01
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| Series: | TASK Quarterly |
| Subjects: | |
| Online Access: | https://journal.mostwiedzy.pl/TASKQuarterly/article/view/3245 |
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| _version_ | 1849700973543424000 |
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| author | Natalia Kosakowska Aleksandra Borowska Samuel Szurman |
| author_facet | Natalia Kosakowska Aleksandra Borowska Samuel Szurman |
| author_sort | Natalia Kosakowska |
| collection | DOAJ |
| description |
The 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, the way each of the discussed methods works, was compared.
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| format | Article |
| id | doaj-art-b4e7df3524fc498f99063013bfdf61d1 |
| institution | DOAJ |
| issn | 1428-6394 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Gdańsk University of Technology |
| record_format | Article |
| series | TASK Quarterly |
| spelling | doaj-art-b4e7df3524fc498f99063013bfdf61d12025-08-20T03:18:05ZengGdańsk University of TechnologyTASK Quarterly1428-63942025-04-0127310.34808/0vcg-ps40Neural approach for rhyming word recommendationsNatalia Kosakowska0Aleksandra Borowska1Samuel Szurman2Gdańsk University of TechnologyGdańsk University of TechnologyGdańsk University of Technology The 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, the way each of the discussed methods works, was compared. https://journal.mostwiedzy.pl/TASKQuarterly/article/view/3245algorithmneural networkpoemrhyme |
| spellingShingle | Natalia Kosakowska Aleksandra Borowska Samuel Szurman Neural approach for rhyming word recommendations TASK Quarterly algorithm neural network poem rhyme |
| title | Neural approach for rhyming word recommendations |
| title_full | Neural approach for rhyming word recommendations |
| title_fullStr | Neural approach for rhyming word recommendations |
| title_full_unstemmed | Neural approach for rhyming word recommendations |
| title_short | Neural approach for rhyming word recommendations |
| title_sort | neural approach for rhyming word recommendations |
| topic | algorithm neural network poem rhyme |
| url | https://journal.mostwiedzy.pl/TASKQuarterly/article/view/3245 |
| work_keys_str_mv | AT nataliakosakowska neuralapproachforrhymingwordrecommendations AT aleksandraborowska neuralapproachforrhymingwordrecommendations AT samuelszurman neuralapproachforrhymingwordrecommendations |