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.
explode
help-authoring
c++-concepts
rebass
androidjunitrunner
threadx
ibm-cloud-iam
alexa-account-linking
rxtx
bank
activation-codes
fresco
xml-namespaces
overscroll
systemctl
server-rendering
tailwind-css
chartist.js
dynamic-data-list
ngrok
simplification
collapsibletree-r
query-parser
stig
hive-udf
epollet
visual-studio-2010
selenium-stealth
quora
fiori-elements