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.
coalescing
http-status-code-403
opacity
fileparsing
visualvm
multiple-matches
checkout
parametrize
ubuntu-unity
zappa
gluon-mobile
pf4j
move-semantics
visual-studio-project
static-generator
vcpkg
twitterkit
weka
android-6.0.1-marshmallow
ora-01400
nextcord
bitmapimage
timber
pydeck
mpiexec
zebra-scanners
ps4
options
windows-server-2019
samba