Contextual spelling correction

Authors:
J. Otero;J. Graña;M. Vilares
Affiliations:
Department of Computer Science, University of Vigo, Ourense, Spain;Department of Computer Science, University of A Coruña, A Coruña, Spain;Department of Computer Science, University of Vigo, Ourense, Spain
Venue:
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Year:
2007

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Abstract

Spelling correction is commonly a critical task for a variety of NLP tools. Some systems assist users by offering a set of possible corrections for a given misspelt word. An automatic spelling correction system would be able to choose only one or, at least, to rank them according to a certain criterion. We present a dynamic framework which allows us to combine spelling correction and Part-of-Speech tagging tasks in an efficient way. The result is a system capable of ranking the set of possible corrections taking the context of the erroneous words into account.