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.
precompiled
security-certificate
entity-functions
yesod
esxi
import-libraries
excel-web-addins
goaccess
text-editor
asio-executors
hour
ngonchanges
libsndfile
subfigure
iso-8859-1
xeroizer
virtual-drive
local-database
gsutil
pylance
schema-migration
google-developer-tools
easyar
character-entities
pygit2
link-prefetch
motorcortex
coordinate
rails-activestorage
setcookie