Reddit reviews Foundations of Statistical Natural Language Processing
We found 5 Reddit comments about Foundations of Statistical Natural Language Processing. Here are the top ones, ranked by their Reddit score.
MIT Press MA
Have you heard of this thing called Natural Language Processing?
You too can learn how to use NLP to analyze text quickly with computers. Start by reading a book like this or this, then solve practice problems like these.
You, too, can learn how to process a corpus of 650,000 emails in 8 days!
[Manning and Schuetze](
http://www.amazon.com/Foundations-Statistical-Natural-Language-Processing/dp/0262133601) is also worth a mention even if I personally prefer the style of Jurafsky and Martin and that is slightly less dated.
Just to put NLTK into some sort of a frame. As far as I know, no researcher publishes anything using NLTK. At least two years ago or so when I had a look at the NLTK book what it does introduce is essentially the state-of-the-art from the mid-90;s which is just fine for an introductory course and playing around but not how you do things in research. This is not an attack on NLTK, just more of pointing out what it actually is.
I watched the entire course of Data Structures and Algorithms by Richard Buckland (UNSW) and thought it was excellent.
http://www.youtube.com/playlist?list=PLE621E25B3BF8B9D1
There is also an online course by Tim Roughgarden (Stanford) currently going on. It's very good but I don't know if you can still sign up.
https://class.coursera.org/algo
Topcoder.com is a fun place to test your skills in a competitive environment.
That being said, based on the description you are interested in things which don't usually fit into algorithms books or courses. Instead, you might want to look into machine learning and maybe even NLP. For example Pattern Recognition and Machine Learning by Bishop and Foundations of Statistical Natural Language Processing by Manning & Schuetze are great books for that.
Check it out: http://www.amazon.com/Foundations-Statistical-Natural-Language-Processing/dp/0262133601. I've only read a part of this book, but i think this is good book.
The NLTK book is a good hands-on free introduction that doesn't require you to understand a whole lot of math.
Other than that, the "big two" textbooks are:
They're a lot more math-heavy than the NLTK book, but if you're interested in computational linguistics/NLP, then your math and statistics should be solid.
Honorable mention:
Hope this helps!