Chapter 1

Text Processing and Morphology

Tokenization, stemming, and lemmatization

medium • 1 min read

Regular expressions and formal language theory in NLP

medium • 2 min read

Morphological analysis and Finite State Transducers

medium • 3 min read

N-gram language models and smoothing techniques

medium • 4 min read

Part-of-Speech tagging (HMMs, CRFs)

medium • 5 min read

Chapter 2

Syntax and Parsing

Context-Free Grammars for natural language

medium • 1 min read

Constituency parsing (CYK algorithm, PCFGs)

medium • 2 min read

Dependency parsing (Transition-based, Graph-based)

medium • 3 min read

Treebanks and parsing evaluation metrics

medium • 4 min read

Grammar formalisms (LFG, CCG)

medium • 5 min read

Chapter 3

Semantics and Information Extraction

Lexical semantics (WordNet, distributional semantics)

medium • 1 min read

Word embeddings (Word2Vec, GloVe, FastText)

medium • 2 min read

Named Entity Recognition (NER)

medium • 3 min read

Relation extraction and coreference resolution

medium • 4 min read

Semantic role labeling

medium • 5 min read

Chapter 4

Deep Learning for NLP

Recurrent Neural Networks (RNNs) and LSTMs/GRUs

medium • 1 min read

Sequence-to-sequence models and attention mechanism

medium • 2 min read

Transformer architectures (Self-attention)

medium • 3 min read

Pre-trained language models (BERT, GPT, T5)

medium • 4 min read

Fine-tuning and prompt engineering techniques

medium • 5 min read

Chapter 5

NLP Applications

Machine Translation (Statistical and Neural)

medium • 1 min read

Question Answering systems (Extractive and Generative)

medium • 2 min read

Text summarization methodologies

medium • 3 min read

Sentiment analysis and aspect-based opinion mining

medium • 4 min read

Dialogue systems and conversational agents

medium • 5 min read