Natural Language Processing: A Notebook Based Introduction
| dc.contributor.author | Cao, Jie | |
| dc.date.accessioned | 2026-07-28T14:42:42Z | |
| dc.date.available | 2026-07-28T14:42:42Z | |
| dc.date.issued | 2026-07 | |
| dc.description | This resource is designed for university-level natural language processing courses and independent study. The materials are presented as Jupyter notebooks that integrate conceptual explanations, examples, visualizations, and executable experiments. Most notebooks can be opened directly in Google Colab without local installation. The resource covers topics ranging from foundational natural language processing methods to transformers, large language models, model adaptation, and agentic AI. It is maintained as a living open educational resource, with its content periodically expanded and updated to reflect the rapid evolution of natural language processing and artificial intelligence. Instructors may use the resource as a course companion, select individual notebooks for lectures or laboratory activities, or adapt the materials into assignments. Because it is continually updated, learners and instructors are encouraged to consult the online version at https://mlciv.com/nlp-notebooks/ for the most current content. Some notebooks incorporate or adapt openly licensed third-party materials, which remain under their original licenses; attributions and links are provided within the relevant chapters. | |
| dc.description.abstract | This living open educational resource contains interactive Jupyter notebooks, instructional materials, and selected assignments developed for an upper-level natural language processing course. The current release focuses on several core course modules and is not yet a complete textbook — it is continually expanded and updated as the field evolves, with additional chapters, explanations, and exercises added over time. Link to full online textbook below: Book (primary): https://mlciv.com/nlp-notebooks/ Source repository: https://github.com/mlciv/nlp-notebooks | |
| dc.description.sponsorship | University of Oklahom Libraries' Alternative Textbook Grant | |
| dc.identifier.citation | Cao, Jie. Natural Language Processing: A Notebook-Based Introduction (Version 0.1). University of Oklahoma, 2026. https://mlciv.com/nlp-notebooks/. Licensed under CC BY-NC-SA 4.0. | |
| dc.identifier.uri | https://shareok.org//handle/11244/342787 | |
| dc.language.iso | en_US | |
| dc.publisher | University of Oklahoma Libaries | |
| dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | |
| dc.subject | Jupyter Notebooks | |
| dc.subject | Natural Language Processing | |
| dc.subject | Large Language Models | |
| dc.subject | Transformers | |
| dc.subject | Machine Learning | |
| dc.subject | Open Educational Resource | |
| dc.title | Natural Language Processing: A Notebook Based Introduction | |
| dc.type | Book | |
| dc.type | Learning Object |