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.
orchardcms-1.9
net-ssh
zdog
get-or-create-and-get
exploit
visual-studio-app-center-test
uisearchresultscontroller
form-for
atmel
amazon-app-runner
pci-compliance
malware
libxslt
zones
stanza
collada
bulk-create
google-assistant
instance-methods
vimejs
phpspreadsheet
intellij-idea-2018
yarnpkg
fivetran
qabstractitemmodel
data-url
aether
slate.js
websphere-traditional
split-screen