Foundations of Statistical Natural Language Processing
by Christopher Manning, Hinrich Schütze · first published 1999
94% recommend6% neutral
Why HN recommends it
Gentle yet thorough introduction to statistical NLP, a standard reference often paired with Jurafsky and Martin for a broad overview of the field; suits newcomers and those moving toward information retrieval or speech.
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Introduction to Information Retrieval: http://www.amazon.com/dp/0521865719/ Convex Optimization: http://www.amazon.com/dp/0521833787/ Foundations of Statistical Natural Language Processing: http://www.amazon.com/dp/0262133601/ Read Peter Norvig's review for Foundations of ....http://www.amazon.com/review/R3GSYXSKRU8V17/ I haven't read any of these books, yet, highly recommended by some…
on “Ask HN: After SICP, what next?” ↗These two books are really recommended: - Speech and Language Processing, Jurafsky and Martin - Foundations of Statistical Natural Language Processing, Chris Manning and Hinrich Schütze Together they provide a very good overview of the field, from tokenization to robust parsing. I cannot really recommend one library. The last two years, I have been…
on “Natural language processing in Clojure, Go ,Cython” ↗Monographs aren't really a thing in NLP, beyond theses. There are a couple of reference books most people lean on, though: * Foundations of Statistical Natural Language Processing by Manning and Schütze * Speech and Language Processing by Jurafsky and Martin (which is being revised for a third edition, which you can look at: https://web.stanford.edu/~jurafsky/slp3/ ) Beyond that,…
on “Critical Behavior from Deep Dynamics: A Hidden Dimension in Natural Language” ↗…understanding in how language modelling works, for those who are curious about questions regarding their ability to model something beyond text. A good textbook to begin with statistical language modelling is "Foundations of Statistical Natural Language Processing" by Manning and Schűtze: https://nlp.stanford.edu/fsnlp/ Or, just as good, "Speech and Language Processing" by Jurafsky and Martin: https://web.stanford.edu/~jurafsky/slp3/ Or, if you don't have the…
on “Paper: LLMs have internal world model, and a sense of time and space” ↗If you haven't, and are interested in this kind of thing, I strongly recommend Manning and Schütze's "Foundations of Statistical Natural Language Processing". This is _the_ book if you want a gentle yet thorough introduction to statistical NLP.
on “How to understand half of Harry Potter book in any language (+ source code)” ↗…using techniques like this, otherwise I would probably spend much more time researching natural language processing. Instead, I did a simple project on searching using language processing and just read Foundations of Statistical Natural Language Processing [1], which is not too difficult, and Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition [2], which is a pretty heavy read…
on “CS224d: Deep Learning for Natural Language Processing” ↗…solid overview textbook to give you an idea about the field; Should you be interested in statistical NLP (even if it probably isn't as sexy as it used to be), the classic there is: * Manning, Schütze: "Foundations of Statistical Natural Language Processing" (http://nlp.stanford.edu/fsnlp/).
on “Ask HN: How Can I Get into NLP (Natural Language Processing)?” ↗…For NLP in PyTorch https://github.com/rguthrie3/DeepLearningForNLPInPytorch And some books: * Natural Language Processing with Python https://www.amazon.com/Natural-Language-Processing-Python-An... * Foundations of Statistical Natural Language Processing https://www.amazon.com/Foundations-Statistical-Natural-Langu...
on “Ask HN: How to start with NLP” ↗Personally, I started with Eugene Charniak's Statistical Language Learning [1] then continued with Manning and Schütze's Foundations of Statistical Natural Language Processing [2] and Speech and Language Processing by Jurafsky and Martin [3]. The Charniak book is primarily about HMMs and quite short, so it's the best introduction to the subject. Manning and Schütze and Jurafsky…
on “Ask HN: Best place to start learning about Markov Chains?” ↗Good old Jurafsky and Martin. Got to meet Dan Jurafsky when he visited UT back in '07 or so -- cool guy. This one and Manning and Schutze's "Dice Book" (Foundations of Statistical Natural Language Processing) were what got me into computational linguistics, and eventually web development.
on “Speech and Language Processing (3rd ed. draft)” ↗…https://mitpress.mit.edu/9780262531412/statistical-language-... Dan Jurafsky and James H. Martin, Speech and Language Processing https://web.stanford.edu/~jurafsky/slp3/ Chris Manning and Hinrich Schűtze, Foundations of Statistical Natural Language Processing https://nlp.stanford.edu/fsnlp/ Those are rather "wax-on, wax-off", but if you want to learn Karate, that's where to begin. Then you can go on to beat up the Transformers and win the girl. The Charniak…
on “GPT-3 is much better at math than it should be” ↗…the stanford course, there are also video lectures: http://see.stanford.edu/see/lecturelist.aspx?coll=63480b48-8... If they decide to proceed, two good NLP books: 1.Speech and Language Processing 2.Foundations of Statistical Natural Language Processing
on “Ask HN: Automatic Translation, why not?” ↗…depth on graphical models look at "Probabilistic Graphical Models: Principles and Techniques" by Koller. On the NLP front there's the standard texts "Speech and Language Processing" by Jurafsky and "Foundations of Statistical Natural Language Processing" by Manning. I also like "An Introduction to Statistical Learning" by James, Witten, Hastie and Tibshirani.
on “Level-Up Your Machine Learning” ↗(Given that you are also interested in NLP) "Foundations of Statistical Natural Language Processing" is a good bet.
on “Ask HN: good math books” ↗Thanks for posting that Prolog/NLP book, I didn't know there was a free pdf. Same with your work-in-progress one: http://nlpwp.org/book/ My copy of _Foundations of Statistical Natural Language Processing_ just arrived in the mail, too. :D Purely Functional Data Structures is excellent.
on “Which programming book you just couldn’t stop reading from start to end?” ↗