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Raingrams

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Raingrams is a flexible and general-purpose ngrams library written in Ruby. Raingrams supports ngram sizes greater than 1, text/non-text grams, multiple parsing styles and open/closed vocabulary models.

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  0 reviews  |  1 user  |  1,601 lines of code  |  0 current contributors  |  Analyzed 4 days ago
  rdoc ruby fingerprinting text author analysis ngrams trigrams open-vocabulary rubygem rspec bigrams 3 more...
 
 

pygrams

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PyGrams converts text to n-grams. Conversion is a three step process. 1) Extract all possible n-grams. Run "form_candidates.py" to create a file containing all possible n-grams. 2) Filter possible n-grams. Run "filter_candidates.py" to find just the n-grams which appear ... [More] sufficiently frequently in relation to the frequency of their components. 3) Convert documents to n-grams. Run "convert_docs.py" to convert documents into approved n-grams. Sample Input: We introduce a family of rings of symmetric functions depending on an infinite sequence of parameters. Sample Output: introduc famili ring symmetr_function depend infinit_sequenc paramet Additional documentation appears in the README file. Note that this software depends on the porter_stemmer.py module, which is available from http://tartarus.org/~martin/PorterStemmer/python.txt. PyGrams has been tested with Python 2.5 on Linux. PyGrams has been developed with support from The Bibliographic Knowledge Network. [Less]

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  0 reviews  |  0 users  |  148 lines of code  |  0 current contributors  |  Analyzed 2 days ago
  n-grams trigrams python stopwords stemming bigrams tokenizer ngrams
 
 

Mulm

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Mulm is a state-of-the-art Hidden Markov Model toolkit.

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  0 reviews  |  0 users  |  5,046 lines of code  |  2 current contributors  |  Analyzed 8 days ago
  languagemodel partofspeech trigrams nlp n-gram trigram tagging hmm markov
 
 
 
 

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