Four types of context for automatic spelling correction

@article{Flor2012FourTO,
  title={Four types of context for automatic spelling correction},
  author={Michael Flor},
  journal={TAL},
  year={2012},
  volume={53},
  pages={61-99}
}
This paper presents an investigation on using four types of contextual information for improving the accuracy of automatic correction of single-token non-word misspellings. The task is framed as contextually-informed re-ranking of correction candidates. Immediate local context is captured by word n-grams statistics from a Web-scale language model. The second approach measures how well a candidate correction fits in the semantic fabric of the local lexical neighborhood, using a very large… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 74 references

Software available at http://aspell.net

  • K. Atkinson
  • “GNU Aspell”,
  • 2011
Highly Influential
5 Excerpts

Producing an Annotated Corpus with Automatic Spelling Correction.

  • M. Flor, Y. Futagi
  • Corpora and Language in Use – Proceedings
  • 2013
1 Excerpt

Evaluation of the erater® Scoring Engine for the GRE® Issue and Argument Prompts

  • C. Ramineni, C. S. Trapani, D. M. Williamson, T. Davey, B. Bridgeman
  • Research Report RR-12-02,
  • 2012
1 Excerpt

Similar Papers

Loading similar papers…