In this course, students will gain a thorough introduction to both the basics of Deep Learning for NLP and the latest cutting-edge research on Large Language Models (LLMs).

In this course, students will gain a thorough introduction to cutting-edge research in Deep Learning for NLP. Through lectures, assignments and a final project, students will learn the necessary skills to …

Lecture Slides from the 2012 Stanford Coursera course by Dan Jurafsky and Christopher Manning

In this course, students will gain a thorough introduction to cutting-edge research in Deep Learning for NLP. Through lectures, assignments and a final project, students will learn the necessary skills to …

In this course, students will gain a thorough introduction to cutting-edge research in Deep Learning for NLP. Through lectures, assignments and a final project, students will learn the necessary skills to …

Jan 6, 2026 · Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition with Language Models, 3rd edition.

Natural Language Processing with Deep Learning CS224N/Ling284 Christopher Manning Lecture 1: Introduction and Word Vectors

This course helps students develop an in-depth understanding of the algorithms available for processing linguistic information and the underlying computational properties of natural languages.

This set of notes begins by introducing the concept of Natural Language Processing (NLP) and the problems NLP faces today. We then move forward to discuss the concept of representing words as …

Nonetheless, the simple pattern-based methods that powered ELIZA and other chatbots play a crucial role in natural language processing. We’ll begin with the most important tool for describing text …