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.
infinity
mpnowplayinginfocenter
recursive-type
papertrail-app
react-on-rails
quanteda
cachedrowset
react-native-snap-carousel
keypathcomparator
json-server
mindstorms
basler
google-cloud-armor
for-xml-explicit
statsvn
featherwing
browsershot
gomail
nsxmlelement
apache-iceberg
wmf
gamlss
ccache
bitbake
activerecord-import
require-method
shinydashboardplus
android-layout-weight
java-flow
django-nonrel