Two Approaches to Diachronic Normalization of Polish Texts
<|reference_start|>Two Approaches to Diachronic Normalization of Polish Texts: This paper discusses two approaches to the diachronic normalization of Polish texts: a rule-based solution that relies on a set of handcrafted patterns, and a neural normalization model based on the text-to-text transfer transformer architecture. The training and evaluation data prepared for the task are discussed in detail, along with experiments conducted to compare the proposed normalization solutions. A quantitative and qualitative analysis is made. It is shown that at the current stage of inquiry into the problem, the rule-based solution outperforms the neural one on 3 out of 4 variants of the prepared dataset, although in practice both approaches have distinct advantages and disadvantages.<|reference_end|>
@article{dudzic2024two,
    title={Two Approaches to Diachronic Normalization of Polish Texts},
    author={Kacper Dudzic, Filip Grali'nski, Krzysztof Jassem, Marek Kubis, Piotr
  Wierzcho'n},
    journal={arXiv preprint arXiv:2402.01300},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.01300},
    primaryClass={cs.CL}
}