# POS-tagging to highlight the skeletal structure of sentences

arXiv: https://arxiv.org/abs/2411.14393 · HTML: https://mlsanity.com/paper/2411.14393/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Nov 2024.

## Built on by (most cited first, 1 of 1)

- [Statistical Analysis of Sentence Structures through ASCII, Lexical Alignment and PCA](https://mlsanity.com/paper/2503.10470/) (2025)

## Abstract (arXiv)

This study presents the development of a part-of-speech (POS) tagging model to extract the skeletal structure of sentences using transfer learning with the BERT architecture for token classification. The model, fine-tuned on Russian text, demonstrating its effectiveness. The approach offers potential applications in enhancing natural language processing tasks, such as improving machine translation. Keywords: part of speech tagging, morphological analysis, natural language processing, BERT.