[HN Gopher] Speech and Language Processing
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       Speech and Language Processing
        
       Author : adulau
       Score  : 69 points
       Date   : 2021-10-16 20:33 UTC (1 days ago)
        
 (HTM) web link (web.stanford.edu)
 (TXT) w3m dump (web.stanford.edu)
        
       | tasubotadas wrote:
       | I am glad that they've updated it. The previous edition was
       | hopelessly outdated as most if not all of the SOTA solutions now
       | use deep learning.
        
       | lgessler wrote:
       | Interesting that the HMM chapter has been moved to the appendix
       | in the 3ed. A consequence of how deep neural nets (CRFs in
       | particular) have supplanted them for most use cases.
        
         | armcat wrote:
         | They still talk about Hidden Markov Models (HMMs) in quite a
         | bit of detail in the sequence labelling chapter, but you are
         | quite right, Conditional Random Fields (CRFs) and especially
         | neural network based CRFs are in the top rankings when it comes
         | to named entity recognition (NER) and part-of-speech tagging
         | (POS), e.g. see https://github.com/jiesutd/NCRFpp.
        
       | mdcurran wrote:
       | I used the 2nd edition of this textbook in my undergraduate
       | studies extensively (linguistics). Coming from a non-technical
       | background and starting to take technical classes, certain
       | chapters were wonderful ways for me to bridge that gap.
       | Specifically the second chapter on text normalisation helped me
       | apply things I'd learned in 100 and 200 level classes and
       | ultimately set me on the path to becoming an engineer. And I
       | still use that text processing knowledge a lot in my day to day
       | work.
       | 
       | I'm forever grateful to the authors for making these drafts
       | freely accessible (there weren't many copies of the second
       | edition in my university library!)
        
       | wodenokoto wrote:
       | Jurafsky's introduction to regular expressions was the one that
       | made it click for me. Both in terms of use case and syntax.
        
       | armcat wrote:
       | Fantastic book, this and Manning's Information Retrieval book
       | (https://nlp.stanford.edu/IR-book/) are some of the best
       | resources on natural language processing, and they are both free.
       | I can just echo what's been already said - thank you for making
       | these high quality resources available to everyone.
        
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       (page generated 2021-10-17 23:01 UTC)