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.
ngrx-effects
html5-animation
inter-process-communicat
libm
android-7.0-nougat
zoom-sdk">zoom-sdk
formal-grammars
postgres-crosstab
kineticjs
microsoft.ml
agora.io
java-threads
ios-app-extension
vs-extensibility
digital-ocean">digital-ocean
primeicons
rocks
qgraphicspathitem
delimitedfile
hashtag
ios
laravel-5.6
boolean
equation-solving
javac
remote-mysql
node-got
tree-shaking
azure-active-directory
configurationproperty