I've read the book, although it would be more accurate to say that I skimmed it since it was a bit over my head when I got it a year or so ago. I am going thro

I've read the book, although it would be more accurate to say that I skimmed it since it was a bit over my head when I got it a year or so ago. I am going through it again now that I've brushed up a bit on some of the math, and in anticipation of the upcoming Stanford course on NLP (http://www.nlp-class.org/ http://www.nlp-class.org/), which is being taught by one of the authors. I think that the material is still fairly relevant, especially in that it is a 'foundation' of Statistical NLP, and especially for someone relatively new to the material (like me). That said, if you take a look at the link to the course, the professors recommend a few different texts: "The best textbook for the class is Jurafsky and Martin, Speech and Language Processing 2nd Edition (http://www.cs.colorado.edu/~martin/slp.html http://www.cs.colorado.edu/~martin/slp.html), complemented by chapters from Manning, Schütze and Raghavan 2008 (http://nlp.stanford.edu/IR-book/ http://nlp.stanford.edu/IR-book/); other useful, good books include Manning and Schütze 1999, and Bird, Klein and Loper 2009." I'd be interested to hear others thoughts on this as well.