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Diacritics Restoration using BERT with Analysis on Czech language

2021-05-24 16:58:27
Jakub Náplava, Milan Straka, Jana Straková

Abstract

We propose a new architecture for diacritics restoration based on contextualized embeddings, namely BERT, and we evaluate it on 12 languages with diacritics. Furthermore, we conduct a detailed error analysis on Czech, a morphologically rich language with a high level of diacritization. Notably, we manually annotate all mispredictions, showing that roughly 44% of them are actually not errors, but either plausible variants (19%), or the system corrections of erroneous data (25%). Finally, we categorize the real errors in detail. We release the code at this https URL.

Abstract (translated)

URL

https://arxiv.org/abs/2105.11408

PDF

https://arxiv.org/pdf/2105.11408.pdf


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