SpellRuEval: the First Competition on Automatic Spelling Correction for Russian
This paper reports on the first competition on automatic spelling correction for Russian language—SpellRuEval—held within the framework of “Dialogue Evaluation”. The competition aims to bring together groups of Russian academic researchers and IT-companies in order to gain and exchange the experience in automatic spelling correction, especially concentrating on social media texts. The data for the competition was taken from Russian segment of Live Journal.
7 teams took part in the competition, the best results were achieved by the model using edit distance and phonetic similarity for candidate search and n-gram language model for their reranking. We discuss in details the algorithms used by the teams, as well as the methodology of evaluation for automatic spelling correction.