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.
redux-form
dotnethighcharts
why3
github-organizations
flutter-clippath
name-decoration
nattable
writexml
downcast
transactional
protection
fixed-size-types
clickhouse-go
jira-rest-api
shelly
twitter-api-v2
wcm
tvjs
qxmlquery
jmeter-maven-plugin
iiscrypto
bucklescript
aem-use-api
mobileprovision
enumerate-devices
orking
pending-transition
stop-words
cucumber-junit
botnet