Good resources like Ebooks, videos.

Good resources like Ebooks, videos.

Nguyễn Trúc PhươngVLU02 -

Ebooks resources: 

1./ "Speech and Language Processing" by Daniel Jurafsky and James H. Martin
http://"Foundations of Statistical Natural Language Processing" by Christopher ...

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Ebooks resources: 

1./ "Speech and Language Processing" by Daniel Jurafsky and James H. Martin
http://"Foundations of Statistical Natural Language Processing" by Christopher D. Manning and Hinrich Schütze 

2./ "Natural Language Processing with Python" by Steven Bird, Ewan Klein, and Edward Loper: This book uses the Python programming language and the Natural Language Toolkit (NLTK) to teach NLP. 

Coursera - Natural Language Processing Specialization: https://www.coursera.org/specializations/natural-language-processing

Youtube videos: Stanford CS221: Artificial Intelligence: Principles and Techniques | Autumn 2019

Re: Good resources like Ebooks, videos.

Ngô Kiều TrinhVLU02 -
I would also like to add these textbooks:
Textbooks
“Statistical Natural Language Processing” by Christopher D. Manning, Hinrich Schütze
“Foundations of Statistical ...

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I would also like to add these textbooks:
Textbooks
“Statistical Natural Language Processing” by Christopher D. Manning, Hinrich Schütze
“Foundations of Statistical Natural Language Processing” by Christopher D. Manning, Hinrich Schütze
“Introduction to Information Retrieval” by Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze
The books I mentioned are foundational in the field of Computational Linguistics (CL) and may provide a strong theoretical and practical basis for understanding and working with natural language data.

Re: Good resources like Ebooks, videos.

Nguyễn Thị Cẩm VânVLU02 -
Here are key resources for Computational Linguistics:
Books:
- "Speech and Language Processing" by Jurafsky & Martin [Free Online](https://web.stanford....

更多...

Here are key resources for Computational Linguistics:
Books:
- "Speech and Language Processing" by Jurafsky & Martin [Free Online](https://web.stanford.edu/~jurafsky/slp3/)
- "Natural Language Processing with Python" by Bird, Klein, & Loper [Free Online](https://www.nltk.org/book/)
- "Foundations of Statistical Natural Language Processing" by Manning & Schütze [Purchase Link](https://mitpress.mit.edu/9780262133609/foundations-of-statistical-natural-language-processing/)
Courses & Videos:
- Coursera: "Natural Language Processing Specialization" by deeplearning.ai [Coursera Link](https://www.coursera.org/specializations/natural-language-processing)
- YouTube: Stanford CS224n [Playlist](https://www.youtube.com/playlist?list=PLoROMvodv4rO2VgkXqH9c7bbizM6nYh9J)
- edX: "Introduction to Natural Language Processing" by Microsoft [edX Link](https://www.edx.org/course/introduction-to-natural-language-processing)
Tools:
- NLTK[Documentation](https://www.nltk.org/)
- spaCy [Documentation](https://spacy.io/)

Re: Good resources like Ebooks, videos.

Nguyễn Dương Minh QuyềnVLU02 -
If you want to gain a thorough understanding of computational linguistics, I recommend studying "Speech and Language Processing" by Jurafsky and Martin, as well as ...

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If you want to gain a thorough understanding of computational linguistics, I recommend studying "Speech and Language Processing" by Jurafsky and Martin, as well as "Foundations of Statistical Natural Language Processing" by Manning and Schütze. "Natural Language Processing with Python" by Bird et al. provides practical insights into NLP using the Python programming language. In addition, the Coursera NLP Specialisation and Stanford's CS221 YouTube series offer significant online resources.