constantin: computerlinguistik*

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  1. You should use The NLP Dictionary to clarify or revise concepts that you have already met. The NLP Dictionary is not a suitable way to begin to learn about NLP. Further information on NLP can be found in the class web page lecture notes section. Other places to find out about artificial intelligence include the AAAI (American Association for Artificial Intelligence) AI Reference Shelf
    https://www.cse.unsw.edu.au/~billw/dictionaries/nlpdict.html
    Stimmen: 0
  2. author » Fabian Steeg
    http://sourceforge.net/p/stnl/code/HEAD/tree
    Schlagwörter: , , , , von Felix Constantin Kraft (2014-07-23)
    Stimmen: 0
  3. -
    http://illya-keeplearning.blogspot.de...ix-trees-java-ukkonens-algorithm.html
    Stimmen: 0
  4. -
    http://www.levenshtein.de
    Stimmen: 0
  5. -
    https://en.wikipedia.org/wiki/List_of...#Natural_language_processing_toolkits
    Schlagwörter: , , von Felix Constantin Kraft (2014-04-12)
    Stimmen: 0
  6. This site describes Jahmm (pronounced "jam"), a Java implementation of Hidden Markov Model (HMM) related algorithms. It's been designed to be easy to use (e.g. simple things are simple to program) and general purpose. As it is licensed under the new BSD license; its source code is thus freely available.

    This library is reasonably efficient, meaning that the complexity of the implementation of the algorithms involved is that given by the theory. However, when a choice must be made between code readability and efficiency, readability has been chosen. It is thus ideal in research (because algorithms can easily be modified) and as an academic tool (students can quickly get interesting results).
    http://code.google.com/p/jahmm/wiki/Overview
    Stimmen: 0
  7. This is the companion website for the following book.

    author » Christopher D. Manning,
    author » Prabhakar Raghavan and
    author » Hinrich Schütze, booktitle » Introduction to Information Retrieval, Cambridge University Press. 2008.

    You can order this book at CUP, at your local bookstore or on the internet. The best search term to use is the ISBN: isbn » 0521865719.

    The book aims to provide a modern approach to information retrieval from a computer science perspective. It is based on a course we have been teaching in various forms at Stanford University, the University of Stuttgart and the University of Munich.

    We'd be pleased to get feedback about how this book works out as a textbook, what is missing, or covered in too much detail, or what is simply wrong. Please send any feedback or comments to: informationretrieval (at) yahoogroups (dot) com author »
    http://www-nlp.stanford.edu/IR-book
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