Computational Linguistics Resources

Books

1. "Speech and Language Processing" by Daniel Jurafsky and James H. Martin

   • A comprehensive textbook covering the breadth of NLP and speech processing.

2. "Foundations of Statistical Natural Language Processing" by Christopher D. Manning and Hinrich Schütze

   • Focuses on statistical methods in NLP.

3. "Introduction to Information Retrieval" by Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze

   • Covers the theory and practice of building information retrieval systems.

4. "Natural Language Processing with Python" by Steven Bird, Ewan Klein, and Edward Loper

   • Practical guide using Python and the NLTK library.

5. "Neural Network Methods in Natural Language Processing" by Yoav Goldberg

   • Covers the application of neural networks in NLP.

Online Courses

1. Coursera - "Natural Language Processing" by Stanford University

   • Offers a solid introduction to NLP, covering key techniques and methods.

2. edX - "Natural Language Processing with Deep Learning" by IBM

   • Focuses on applying deep learning techniques to NLP tasks.

3. Udacity - "Natural Language Processing Nanodegree"

   • Provides hands-on projects and practical skills in NLP.

Videos and Lectures

1. Stanford University - CS224N: Natural Language Processing with Deep Learning

   • Lecture series available on YouTube covering deep learning techniques in NLP.

2. MIT OpenCourseWare - "Natural Language Processing"

   • Offers video lectures, assignments, and readings for self-study.

3. DeepLearning.AI - "Natural Language Processing Specialization" on Coursera

   • Series of courses focusing on deep learning for NLP.