POS-tagging to highlight the skeletal structure of sentences

Grigorii Churakov

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arXiv · 2411.14393

POS-tagging to highlight the skeletal structure of sentences

Grigorii Churakov

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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.

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Grigorii Churakov. 2024-11-21. POS-tagging to highlight the skeletal structure of sentences. https://arxiv.org/abs/2411.14393

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