This work aims to provide an overview on the open-source multilanguage tool called
StyloMetrix. It offers stylometric text representations that cover various aspects of grammar …

The aim of the study is to develop a text classification conceptual model based on a
combined method of two-factor selection of significant words in a frequency dictionary. The …

One of the crucial problems of natural language processing for languages such as Ukrainian
is lack of datasets both unlabeled (for pretraining of word embeddings or large deep …

This paper provides an overview of a text mining tool the StyloMetrix developed initially for
the Polish language and further extended for English and recently for Ukrainian. The …

Improving the Machine Translation Model in Specific Domains for the Ukrainian Language
Page 1 Improving the Machine Translation Model in Specific Domains for the Ukrainian …

Abstract Recent advancements in Natural Language Processing (NLP) have spurred
remarkable progress in language modeling, predominantly benefiting English. While …

The subject matter of this article revolves around the exploration of neural network
architectures to enhance the accuracy of text classification, particularly within the realm of …

Significant difficulty in translation tasks is usually caused by the possibility of having multiple
correct results. That is where human translators usually beat modern machine learning …

Анотація Метою даного дослідження є аналіз впливу використання Contextual та Word
ембедінгів на точність класифікації текстових масивів. Contextual ембединги є сучасним …