POS-tagging to highlight the skeletal structure of sentences

Grigorii Churakov
11/21/2024
cs.CL

No official code found. Best implementation: disk0Dancer/rubert-finetuned-pos (0 stars, MIT, last commit 2025-05-18).

Abstract

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.

View on arXivView PDF

Code Implementations(1)

disk0Dancer/rubert-finetuned-posCommunity100%
MIT

Course work 3rd year

00Python, DockerfileMar 24, 20241 years agoMIT

Similar Papers

BBPOS: BERT-based Part-of-Speech Tagging for Uzbek

83% match2025

Comparative Study of Zero-Shot Cross-Lingual Transfer for Bodo POS and NER Tagging Using Gemini 2.0 Flash Thinking Experimental Model

78% match2025

J2N -- Nominal Adjective Identification and its Application

78% match1 repo22024

A Comprehensive Part-of-Speech Tagging to Standardize Central-Kurdish Language: A Research Guide for Kurdish Natural Language Processing Tasks

78% match2025

Part-of-Speech Tagger for Bodo Language using Deep Learning approach

77% match2024

Unsupervised Cross-Lingual Part-of-Speech Tagging with Monolingual Corpora Only

77% match2026

Cite this paper

@article{churakov2024postagging,
  title  = {POS-tagging to highlight the skeletal structure of sentences},
  author = {Grigorii Churakov},
  year   = {2024},
  eprint = {2411.14393},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2411.14393v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2411.14393.svg)](https://codeofpaper.com/paper/2411.14393)

Discussion