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.
asp.net-docker-extensions
wirehair
composer-php
object-hash
.net-5
observablecollection
owl-carousel-2
cognito
touchablewithoutfeedback
sysctl
pdf.js.express
oomph
dllnotfoundexception
qidentityproxymodel
auth-request
beagleboneblack
wso2si
reselect
fork-ts-checker-webpack-plugin
apply
lite-server
catamorphism
same-origin-policy
gtkcssprovider
patternlab.io
autodispose
xcconfig
raspberry-pi-pico
max
tidyverts