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.
r-s3
notepad
rails-postgresql
gethostbyname
encryption-symmetric
webproxy
createjs
coldfusion-2018
jitterbit
twitter-bootstrap-2
restkit
kinect
cfquery
ansi-c
windows-1251
pajek
copybook
giphy
dual-sim
unions
spring-jersey
jsonpath
android-flavordimension
putty
auto
array-reduce
fluidsynth
windows-xp-sp2
android-resolution
react-native-stylesheet