You want to learn about computational linguistics. What's the best online resource?

3 A curated list

Another great online resource to learn about computational linguistics is the Awesome Computational Linguistics GitHub repository, maintained by a community of enthusiasts and experts. This repository contains a curated list of resources, such as books, papers, blogs, podcasts, videos, courses, software, datasets, and more, related to various topics and subfields of computational linguistics. You can browse the list by category, such as syntax, semantics, dialogue, speech, machine translation, sentiment analysis, and more. You can also contribute to the list by suggesting new resources or updating existing ones.

4 A popular book

If you prefer to learn from a book, you might want to check out Speech and Language Processing by Daniel Jurafsky and James H. Martin. This book is one of the most widely used textbooks in computational linguistics, covering both the theoretical and the practical aspects of natural language processing. The book covers topics such as regular expressions, finite-state automata, n-gram models, part-of-speech tagging, parsing, semantic analysis, discourse analysis, machine translation, information extraction, speech recognition, and more. The book also provides exercises and code examples in Python.

5 A handy tool

If you want to experiment with computational linguistics without writing any code, you might want to try the Natural Language Toolkit (NLTK). NLTK is a Python library that provides easy-to-use interfaces to over 50 corpora and lexical resources, such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning. You can use NLTK to analyze, manipulate, and generate natural language texts. You can also use NLTK to learn about computational linguistics concepts and techniques.

6 A vibrant community

Finally, if you want to learn from and interact with other people who are interested in or working on computational linguistics, you might want to join the Computational Linguistics Stack Exchange. This is a question and answer site for professional linguists and others with an interest in linguistic research and theory. You can ask and answer questions about any topic related to computational linguistics, such as algorithms, models, tools, datasets, terminology, and more. You can also vote, comment, and edit posts to improve the quality and relevance of the content.