English

Punctuation Prediction for Polish Texts using Transformers

Computation and Language 2024-10-08 v1

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.

Cite

@article{arxiv.2410.04621,
  title  = {Punctuation Prediction for Polish Texts using Transformers},
  author = {Jakub Pokrywka},
  journal= {arXiv preprint arXiv:2410.04621},
  year   = {2024}
}
R2 v1 2026-06-28T19:10:31.772Z