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.
refit
vobject
kableextra
preg-split
unix-ar
c++-faq
clique
auto-registration
fail2ban
spannable
pm2
onchange
aar
c++14
google-compute-disk
datagridrow
detect
parallel.for
downgrade
sbt-native-packager
cortana-intelligence
custom-url-protocol
wijmo
regedit
android-device-owner
sqlite-net
geotrellis
django-q
aws-organizations
green-threads