Scaling Up Context-Sensitive Text Correction

  title={Scaling Up Context-Sensitive Text Correction},
  author={Andrew J. Carlson and Jeffrey Rosen and Dan Roth},
The main challenge in an effort to build a realistic system wi th context-sensitive inference capabilities, beyond accura cy, is scalability. This paper studies this problem in the context of a learning-based approach to context sensitive text corr e tion – the task of fixing spelling errors that result in valid words, such as substituting to for too, casualfor causal , and so on. Research papers on this problem have developed algorithms that can achieve fairly high accuracy, in many case s… CONTINUE READING
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