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5 Lessons

Text Processing and Morphology

Focus on this chapter's key concepts. Dive into each topic for a detailed understanding with examples and structured notes.

Tokenization, stemming, and lemmatization

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1 of 5 Lessons

Regular expressions and formal language theory in NLP

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2 of 5 Lessons

Morphological analysis and Finite State Transducers

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3 of 5 Lessons

N-gram language models and smoothing techniques

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4 of 5 Lessons

Part-of-Speech tagging (HMMs, CRFs)

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5 of 5 Lessons

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Syntax and Parsing
Text Processing and Morphology - Natural Language Processing | M.Tech Computer Science