The present research is concerned with the problem of automatic spelling correction for Russian and English. The program realized in a batch mode draws upon chunking - a model of an incomplete syntactic analysis. Basing on the previous version of the program and its advantages and shortcomings, we made a decision to introduce a stage of analysis using bigrams into the chunking pipeline, which considerably increased the efficiency of spelling correction. Unlike other programs that presuppose an interactive mode with a human interference, the spelling corrector described in the present paper is completely automatic, i.e. the program itself chooses the best variant of a correction and makes the necessary replacement. The work of the program was tested on two mini-collections (for Russian and for English) of a hundred clauses each collected from Twitter. Though there is still room for improvement, the results testify to the fact that joint use of bigrams and chunks has great potential.

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