Natural Language Processing Class Notes
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.
Escuela, estudio y materia
- Institución
- Carnegie Institute
- Grado
- Natural Language Processing
Información del documento
- Subido en
- 18 de diciembre de 2023
- Número de páginas
- 13
- Escrito en
- 2023/2024
- Tipo
- Notas de lectura
- Profesor(es)
- Prof sandeeep reddy
- Contiene
- Todas las clases
Temas
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nlp
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rgpv
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deep learning
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al 504
-
oist bhopal
-
ai notes
-
learn nlp notes
-
ai ml
-
nlp viva questions
-
short notes summary
-
natural language processing
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notes
-
ai
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ml
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dl