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.
3nf
typo3-flow
posh-ssh
http-streaming
memberof
sequential
lsmeans
postsharp
lambda-authorizer
nexus-js
javapos
removechild
aegis
sales-tax
discord-buttons
antivirus-integration
message-loop
geodesic-sphere
flutter-sliverappbar
exp
document-ready
gulp-rename
capl
tweedie
osclass
shrinkwrap
jtree
multiple-gpu
react-native-tools
openbabel