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Python-Language-Processing

HA10.py alters email texts such that they will pass a given spam filter.

HA4.py automatically detects the language of given texts by comparing character frequencies

HA5.py calculates the similarity of word using WordNet and compares the rank to a human assessment

HA6.py implements a T9-like SMS word completion algorithm

HA7.py finds Homonyms and prints example usages for each possible meaning

HA8.py uses a perceptron tagger to annotate words in a corpus with POS-tags

HA9.py a bayesian classifier to annotate words with POS-tags and ranks the features by informativeness

HW3.py finds the most improbable phrases in a text by using log-likelyhood

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