Introduction to NLP: The Noisy Channel Model and Applications

Introduction to NLP: The Noisy Channel Model and Applications
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Delve into the intriguing field of Natural Language Processing (NLP) with an exploration of the Noisy Channel Model. Understand how encoding, decoding, and translation models play a crucial role in language processing tasks. Explore examples, such as translating phrases and correcting spelling, to grasp the model's application in handwriting recognition, text generation, and machine translation. Discover the significance of the Noisy Channel Model in modern communication technologies and its potential for enhancing various linguistic processes.

  • NLP
  • Noisy Channel Model
  • Language Processing
  • Translation
  • Applications

Uploaded on Mar 02, 2025 | 1 Views


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  1. NLP

  2. Introduction to NLP The Noisy Channel Model

  3. The Noisy Channel Model Example: Input: Written English (X) Encoder: garbles the input (X->Y) Output: Spoken English (Y) More examples: Grammatical English to English with mistakes English to bitmaps (characters) P(X,Y) = P(X)P(Y|X)

  4. Encoding and Decoding Given f, guess e f e e E F encoder F E decoder e = argmax P(e|f) = argmax P(f|e) P(e) e e translation model language model

  5. Example Translate la maison blanche P(f|e) P(e) cat rat piano house white the the house white the red house the small cat the white house

  6. Example Translate la maison blanche P(f|e) - + P(e) - - cat rat piano house white the the house white the red house the small cat the white house

  7. Example Translate la maison blanche P(f|e) - + + - - + P(e) - - - + + + cat rat piano house white the the house white the red house the small cat the white house

  8. Uses of the Noisy Channel Model Handwriting recognition Text generation Text summarization Machine translation Spelling correction See separate lecture on text similarity and edit distance

  9. Spelling Correction From Peter Norvig: http://norvig.com/ngrams/ch14.pdf

  10. NLP

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