Punctuation Prediction for Polish Texts using Transformers

Jakub Pokrywka
10/6/2024
cs.CL

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Abstract

Speech recognition systems typically output text lacking punctuation. However, punctuation is crucial for written text comprehension. To tackle this problem, Punctuation Prediction models are developed. This paper describes a solution for Poleval 2022 Task 1: Punctuation Prediction for Polish Texts, which scores 71.44 Weighted F1. The method utilizes a single HerBERT model finetuned to the competition data and an external dataset.

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Cite this paper

@article{pokrywka2024punctuation,
  title  = {Punctuation Prediction for Polish Texts using Transformers},
  author = {Jakub Pokrywka},
  year   = {2024},
  eprint = {2410.04621},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2410.04621v1}
}

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