When using the scikit-learn library in Python, I can use the CountVectorizer to create ngrams of a desired length (e.g. 2 words) like so: from sklearn.metrics.
mopub
infopath-forms-services
alglib
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thephpleague
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atof
solid-state-drive
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rpn
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apache-modules
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httpserver
spidermon
kosaraju-algorithm
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