Lecture notes
Natural Language Processing Class Notes
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13
Uploaded on
18-12-2023
Written in
2023/2024
The document includes the following topics - UNIT I:Introduction: Origins and challenges of NLP – Language Modeling: Grammar based LM, Statistical LM – Regular Expressions, Finite-State Automata – English Morphology, Transducers for lexicon and rules, Tokenization, Detecting and Correcting Spelling Errors, Minimum Edit Distance. UNIT II:Word Level Analysis:Unsmoothed N-grams, Evaluating N-grams, Smoothing, Interpolation and Backoff – Word Classes, Part-of-Speech Tagging, Rule-based, Stochastic and Transformation-based tagging, Issues in PoS tagging – Hidden Markov and Maximum Entropy models,Viterbi algorithms and EM training.
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Written for
- Institution
- Carnegie Institute
- Module
- Natural Language Processing
All documents for this subject (2)
Document information
- Uploaded on
- December 18, 2023
- Number of pages
- 13
- Written in
- 2023/2024
- Type
- Lecture notes
- Professor(s)
- Prof sandeeep reddy
- Contains
- All classes
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