The hands-on NLTK tutorial for NLP in Python
NLTK Book
This version of the NLTK book is updated for Python 3 and NLTK 3. The first edition of the book, published by O'Reilly, is available at http://nltk.org/book_1ed/. (There are currently no plans for a second edition of the book.)
Natural Language Processing With Python's NLTK Package – Real Python
In this beginner-friendly tutorial, you'll take your first steps with Natural Language Processing (NLP) and Python's Natural Language Toolkit (NLTK). You'll learn how to process unstructured data in order to be able to analyze it and draw conclusions from it.
Stanford CS336 Language Modeling from Scratch I 2025
The Stanford NLP Group
Performing groundbreaking Natural Language Processing research since 1999.
Named Entity Recognition with NLTK and SpaCy
NER is used in many fields in Natural Language Processing (NLP)
Build A Large Language Model (From Scratch), Published by Manning, ISBN 978-1633437166
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Introducing NLWeb: Bringing conversational interfaces directly to the web - Source
Today Microsoft is introducing NLWeb, an open project designed to simplify the creation of natural language interfaces for websites—making it easy to turn any site into an AI-powered app. Learn more about the technology and how web publishers can get started below.
Getting started with Transformers and TPU using PyTorch
Learn how to get started with Hugging Face Transformers and TPUs using PyTorch, fine-tune a BERT model for Text Classification using the newest Google Cloud TPUs.
Google for Developers Blog - News about Web, Mobile, AI and Cloud
Explore LangExtract: a Gemini-powered, open-source Python library for reliable, structured information extraction from unstructured text with precise source grounding.
a few people found this tool I made a while ago useful in @alex.bsky.team's lexicon workshop yesterday at #atmosphereconf, so resharing here for anyone else who wants to write their lexicons in typescript prototypey.org
