AD-802 (A) Natural Language Processing Notes
5 notes for Natural Language Processing, unit by unit.
Notes for AD-802 (A)
- Unit 1 · Short notes Introduction Natural Language Processing (NLP): Definition and scope · Applications in various domains · Challenges and limitations · NLP tasks in syntax, semantics, and pragmatics · Different Data Models such as Boolean Model, Vector model, Probabilistic Model · Comparison of classical NLP models: Rule‑based model, Statistical model, Information retrieval model, Rule‑based machine translation model, Probabilistic Graphical model
- Unit 2 · Short notes Linguistics and Morphology Linguistic essentials: Phonetics and Phonology · Morphology: Morphens, Syntax, Semantics, Pragmatics, Semiotics, Discourse Analysis, Psycholinguistics, Corpus Linguistics · Word Formation Processes · Morphological analysis · Morphological Finite State Transducers
- Unit 3 · Short notes Word Level Analysis Tokenization · Part‑of‑Speech Tagging (POS Tagging) · Lemmatization · Stemming · Named Entity Recognition (NER) · Word Sense Disambiguation (WSD)
- Unit 4 · Short notes Syntax Analysis Grammatical Formalisms: Context Free Grammars (CFG) · Grammar rules for English · Syntactic parsing: Grammar formalisms and treebanks · Efficient parsing for context‑free grammars (CFGs) · Statistical parsing and probabilistic CFGs (PCFGs)
- Unit 5 · Short notes Semantic Analysis Requirements for representation · First‑Order Logic · Description Logics · Syntax‑Driven Semantic analysis · Semantic attachments · Word senses, relations between senses, thematic roles, selectional restrictions
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