A single-layer feedforward neural network model for morphological stemming of uzbek words

U. I. Salaev

Samarqand davlat universiteti ilmiy tadqiqotlar axborotnomasi · 2026-yil

Annotatsiya

This paper presents a single-layer feedforward neural network for morphological stemming of Uzbek words. Each word is encoded using character-level one-hot vectors (810-dimensional input: 27 characters × 30 positions). The model uses sigmoid activation, MSE loss, and gradient descent backpropagation. A systematic hyperparameter search over epochs E ∈ {20,30,40}, learning rates η ∈ {0.5,0.6}, and thresholds θ ∈ {0.70–0.85} across 24 configurations on 3,441 word–stem pairs yields a peak accuracy of 98.34% (E=40, η=0.6, θ=0.70). The results demonstrate that minimal neural architectures can effectively model agglutinative morphology in under-resourced Turkic languages.

Maqola ma’lumotlari
MualliflarU. I. Salaev
JurnalSamarqand davlat universiteti ilmiy tadqiqotlar axborotnomasi
NashriyotСамарқанд давлат университети
ISSN2091-5446, 2181-1296
Nashr sanasi2026-07-01
Jild2
Son3
Betlar135-141
TilIngliz
DOI10.59251/2181-3973.2025.v1.138.1.4018
Indeksga qo‘shilgan2026-09-02

Iqtibos keltirish

APAU. I. Salaev (2026). A SINGLE-LAYER FEEDFORWARD NEURAL NETWORK MODEL FOR MORPHOLOGICAL STEMMING OF UZBEK WORDS. Samarqand davlat universiteti ilmiy tadqiqotlar axborotnomasi, 2(3), 135-141. https://doi.org/10.59251/2181-3973.2025.v1.138.1.4018
GOST (OAK)U. I. Salaev A SINGLE-LAYER FEEDFORWARD NEURAL NETWORK MODEL FOR MORPHOLOGICAL STEMMING OF UZBEK WORDS // Samarqand davlat universiteti ilmiy tadqiqotlar axborotnomasi. – 2026. – T. 2, № 3. – P. 135-141. – DOI: 10.59251/2181-3973.2025.v1.138.1.4018.
MLAU. I. Salaev. “A SINGLE-LAYER FEEDFORWARD NEURAL NETWORK MODEL FOR MORPHOLOGICAL STEMMING OF UZBEK WORDS.” Samarqand davlat universiteti ilmiy tadqiqotlar axborotnomasi, 2(3), 135-141, 2026. https://doi.org/10.59251/2181-3973.2025.v1.138.1.4018
ChicagoU. I. Salaev. “A SINGLE-LAYER FEEDFORWARD NEURAL NETWORK MODEL FOR MORPHOLOGICAL STEMMING OF UZBEK WORDS.” Samarqand davlat universiteti ilmiy tadqiqotlar axborotnomasi, 2(3), 135-141 (2026). https://doi.org/10.59251/2181-3973.2025.v1.138.1.4018
HarvardU. I. Salaev (2026) ‘A SINGLE-LAYER FEEDFORWARD NEURAL NETWORK MODEL FOR MORPHOLOGICAL STEMMING OF UZBEK WORDS’, Samarqand davlat universiteti ilmiy tadqiqotlar axborotnomasi, 2(3), 135-141. https://doi.org/10.59251/2181-3973.2025.v1.138.1.4018
BibTeX
@article{uisalaev2026,
  title = {A SINGLE-LAYER FEEDFORWARD NEURAL NETWORK MODEL FOR MORPHOLOGICAL STEMMING OF UZBEK WORDS},
  author = {U. I. Salaev},
  journal = {Samarqand davlat universiteti ilmiy tadqiqotlar axborotnomasi},
  year = {2026},
  volume = {2},
  number = {3},
  pages = {135-141},
  doi = {10.59251/2181-3973.2025.v1.138.1.4018},
  url = {https://doi.org/10.59251/2181-3973.2025.v1.138.1.4018}
}

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