GateXAIML / Recommended Books

Natural Language Processing

Why this subject matters: NLP has moved from a niche specialization to a core skill, thanks to the rise of LLMs — companies building chatbots, search, and document AI products actively hire for this specific expertise.

Standard reference

Speech and Language Processing

Daniel Jurafsky & James H. Martin · 3rd Edition (draft)

The definitive NLP textbook, regularly updated to include transformer-based methods alongside classical techniques.

Cover: Speech and Language Processing View
via Amazon Associates
In-depth

Natural Language Processing with Transformers

Lewis Tunstall, Leandro von Werra & Thomas Wolf

Written by Hugging Face engineers — the most current, practically-relevant book for how NLP is actually built in industry today.

Cover: Natural Language Processing with Transformers View
via Amazon Associates
Practice & problems

Natural Language Processing with Python

Steven Bird, Ewan Klein & Edward Loper

A hands-on introduction using NLTK — good for building intuition on tokenization, parsing, and classical NLP pipelines.

Cover: Natural Language Processing with Python View
via Amazon Associates