这是水木自然语言处理版asker版友发布的的链接，进去看了一下，发现授课老师是大名鼎鼎的Christopher Manning教授，他是两本书的第一作者：一本是《统计自然语言处理基础》（Foundations of Statistical Natural Language Processing），另一本是《信息检索导论》（Introduction to Information Retrieval），都是相应领域的入门经典。所以，对于斯坦福大学“自然语言处理”授课视频，质量应该是非常有保障的，以下是该课程的概括介绍：

This course is designed to introduce students to the fundamental concepts and ideas in natural language processing (NLP), and to get them up to speed with current research in the area. It develops an in-depth understanding of both the algorithms available for the processing of linguistic information and the underlying computational properties of natural languages. Wordlevel, syntactic, and semantic processing from both a linguistic and an algorithmic perspective are considered. The focus is on modern quantitative techniques in NLP: using large corpora, statistical models for acquisition, disambiguation, and parsing. Also, it examines and constructs representative systems.

　　斯坦福大学“自然语言处理”授课视频共有18堂课，我点了第一堂课的链接看了一下，视频还是很流畅的，对该课程有兴趣的读者，可以通过其课程页面的链接观看：http://see.stanford.edu/see/lecturelist.aspx?coll=63480b48-8819-4efd-8412-263f1a472f5a
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