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 the discussed methods works, was compared.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-07
DOI
https://doi.org/10.34808/0vcg-ps40
Primary Topic
Authorship Attribution and Profiling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Neural approach for rhyming word recommendations

SHILAP Revista de lepidopterología
Authorship Attribution and Profiling
article

Neural approach for rhyming word recommendations

article en

Abstract

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.

SHILAP Revista de lepidopterología
Gdańsk University of Technology (PL)
Quality Education
Openalex Percentile: Top 78%
Authorship Attribution and Profiling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Neural approach for rhyming word recommendations · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS