Open access dataset for Spelling Correction in Russian

Description

Open access dataset for Spelling Correction in Russian. Each unit of the dataset consists of a word pair containing an incorrect spelling and its corresponding corrected form. The dataset comprises two parts for training and testing in scv format, containing 80,000 and 20,612 word pairs respectively. Each row accurately corresponds to a single word pair. Most of the pairs is obtained through word frequency analysis of the Wikipedia corpus, according to the method described in the paper [1]. [1] Whitelaw C. et al. Using the web for language independent spellchecking and autocorrection. – 2009.

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