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.
laravel-unit-test
shape-recognition
bytedeco-javacv
parse-dashboard
flink-broadcaststate
sc.exe
blogger
flutter-desktop
reality-converter
perlscript
itertools-groupby
ssha
pgaudit
memoji
savechanges
dynamicform
view-helpers
artifacts
watershed
topic-modeling
google-document-viewer
non-member-functions
google-spreadsheet-api
ember-1
textdecoder
django-login
scnscene
xml-declaration
diagrams.net
csproj