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Hacker News Comments on
Speech and Language Processing, 2nd Edition

Daniel Jurafsky, James Martin · 3 HN comments

HN Books has aggregated all Hacker News stories and comments that mention "Speech and Language Processing, 2nd Edition" by Daniel Jurafsky, James Martin.

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Amazon Summary

An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology – at all levels and with all modern technologies – this book takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. KEY TOPICS: Builds each chapter around one or more worked examples demonstrating the main idea of the chapter, usingthe examples to illustrate the relative strengths and weaknesses of various approaches. Adds coverage of statistical sequence labeling, information extraction, question answering and summarization, advanced topics in speech recognition, speech synthesis. Revises coverage of language modeling, formal grammars, statistical parsing, machine translation, and dialog processing. MARKET: A useful reference for professionals in any of the areas of speech and language processing.

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Hacker News Stories and Comments

All the comments and stories posted to Hacker News that reference this book.

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Apr 28, 2014 · vkhuc on Parsing English with 500 lines of Python (2013)

I think the book "Speech and Language Processing, 2nd Edition" from Prof. Daniel Jurafsky is very good http://www.amazon.com/Speech-Language-Processing-Daniel-Jura...
You can also check out the great online NLP course taught by the author and Prof. Chris Manning from Stanford: https://www.youtube.com/watch?v=nfoudtpBV68&list=PL6397E4B26...

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Aug 13, 2010 · michaelfairley on An introduction to computational linguistics

Stanford's NLP (Natural Language Processing = Computational Linguistics) course (taught by Chris Manning, one of the best known names in the field) is online, with both videos and transcripts available[1]. The standard intro textbook to the field is Jurafsky and Martin[2], which is an excellent read if you're at all interested in NLP/CompLing.
1: http://see.stanford.edu/see/lecturelist.aspx?coll=63480b48-8...
2: http://www.amazon.com/Speech-Language-Processing-Daniel-Jura...

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Warning: videos in the first link need Silverlight/Mono.

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Sep 12, 2008 · sbt on Ask HN: Algorithm to identify the same events based on semantic similarity

What you are trying to do is very hard. Statistical NLP is the way to go for unbounded domains. You might be able to do better semantic analysis for smaller closed domains.
There is a relatively new great book on NLP out now that I suggest you take a look at. Particularly the chapters semantics are very useful, but they should give you an idea of how incredibly difficult what you're trying to do is.
Book: http://www.amazon.com/Language-Processing-Prentice-Artificia...

Hacker News Comments on Speech and Language Processing, 2nd Edition

Hacker News Stories and Comments

Hacker News Comments on
Speech and Language Processing, 2nd Edition