Probabilistic-Spell-Checker-The-Noisy-Channel

Spell checker that handles both non-word and real-word errors given in a context

The purpose of this assignment is to build probabilistic language models by implementing the full algorithmic pipeline.

Specifics:

• Use the noisy channel model to correct the errors:
  • A correction of a misspelled word depends on both the most probable correction on the error type-character level and the word prior
  • A correction of a word in a sentence depends on the error type-character level and on the language model -- the correction should maximize the likelihood of getting the full corrected sentence.
• Use the language model when correcting words in a context.

References:

• Spelling Correction and the Noisy Channel
• Markov Language Model