Natural Language Processing with Christopher Manning and Dan Jurafsky.
From the webpage:
We are offering this course on Natural Language Processing free and online to students worldwide, January 23rd – March 18th 2012, continuing Stanford’s exciting forays into large scale online instruction. Students have access to screencast lecture videos, are given quiz questions, assignments and exams, receive regular feedback on progress, and can participate in a discussion forum. Those who successfully complete the course will receive a statement of accomplishment. Taught by Professors Jurafsky and Manning, the curriculum draws from Stanford’s courses in Natural Language Processing. You will need a decent internet connection for accessing course materials, but should be able to watch the videos on your smartphone.
Course Description
The course covers a broad range of topics in natural language processing, including word and sentence tokenization, text classification and sentiment analysis, spelling correction, information extraction, parsing, meaning extraction, and question answering, We will also introduce the underlying theory from probability, statistics, and machine learning that are crucial for the field, and cover fundamental algorithms like n-gram language modeling, naive bayes and maxent classifiers, sequence models like Hidden Markov Models, probabilistic dependency and constituent parsing, and vector-space models of meaning.
The class will start January 23 2012, and will last approximately 8 weeks.
If you don’t know any more about natural language processing at the end of March 2012 than you did at New Years, whose fault is that? 😉