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Spelling Correction for Russian: A Comparative Study of Datasets and Methods

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractWe develop a minimally-supervised model for spelling correction and evaluate its performance on three datasets annotated for spelling errors in Russian. The first corpus is a dataset of Russian social …...

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