Speech and Language Processing
25 chapter decks · 1954 cards
- Introduction
- Words and Tokens
- N-gram Language Models
- Logistic Regression and Text Classification
- Embeddings
- Neural Networks
- Transformers and Pretraining
- Post-training
- Masked Language Models
- Interpretability
- Information Retrieval and Retrieval-Augmented Generation
- Machine Translation
- RNNs and LSTMs
- Phonetics and Speech Feature Extraction
- Automatic Speech Recognition
- Text-to-Speech
- Sequence Labeling for Parts of Speech and Named Entities
- Context-Free Grammars and Constituency Parsing
- Dependency Parsing
- Information Extraction: Relations, Events, and Time
- Semantic Role Labeling
- Lexicons for Sentiment, Affect, and Connotation
- Coreference Resolution and Entity Linking
- Discourse Coherence
- Conversation and its Structure