A comparison of a novel neural spell checker and standard spell checking algorithms

@article{Hodge2002ACO,
  title={A comparison of a novel neural spell checker and standard spell checking algorithms},
  author={Victoria J. Hodge and Jim Austin},
  journal={Pattern Recognition},
  year={2002},
  volume={35},
  pages={2571-2580}
}
In this paper, we propose a simple and .exible spell checker using e0cient associative matching in the AURA modular neural system. Our approach aims to provide a pre-processor for an information retrieval (IR) system allowing the user’s query to be checked against a lexicon and any spelling errors corrected, to prevent wasted searching. IR searching is computationally intensive so much so that if we can prevent futile searches we can minimise computational cost. We evaluate our approach against… CONTINUE READING