  We extend a current sequence-tagging approach to Grammatical Error Correction
(GEC) by introducing specialised tags for spelling correction and morphological
inflection using the SymSpell and LemmInflect algorithms. Our approach improves
generalisation: the proposed new tagset allows a smaller number of tags to
correct a larger range of errors. Our results show a performance improvement
both overall and in the targeted error categories. We further show that
ensembles trained with our new tagset outperform those trained with the
baseline tagset on the public BEA benchmark.
