Abstract
Spell Checking is an integral part of modern word-processing applications. Current spellcheckers can only detect and correct non-word errors. They cannot effectively deal with real-word errors; misspelled words that result in valid English words. Current techniques for detecting real-word errors require huge volume of training corpus and the learned knowledge is represented by opaque set of features that are not apparent. This paper proposes a new method for dealing with real-word errors using selectional preferences of predicates for arguments in a case slot. The method requires very little in terms of resources and can use existing lexicons slightly modified to suit the above task.
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Banu, R.S.D.W., Kumar, R.S. (2004). Using Selectional Restrictions for Real Word Error Correction. In: Manandhar, S., Austin, J., Desai, U., Oyanagi, Y., Talukder, A.K. (eds) Applied Computing. AACC 2004. Lecture Notes in Computer Science, vol 3285. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30176-9_17
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DOI: https://doi.org/10.1007/978-3-540-30176-9_17
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