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.
google-maps-android-api-1
setfocus
gelf
viewport
freetext
easyquery
ondemand
visual-c#-express-2010
dotnet-dev-certs
killbill
yarnpkg
charat
git-rm
c#-4.0
information-visualization
language-interoperability
psr-2
laravel-admin
yesod-forms
python-onvif
markerspiderfier
optunity
uiscrollviewdelegate
s390x
powermanager
product-catalog
pep8-checker
umbrellajs
countdowntimer
perldb