Python script to detect Discourse Markers.
A very very naive way to detect the presence of Discourse Markers/Connectives using a rule-based regex matching.
The script requires input in the form of a parse tree(s) from Stanford parser.
- Put the parse tree in the input file - "rules" from the Stanford parser.
- Delimit using "<<".
- Run the script
$ python reader.py- Output is in the form of a list of DMs.
- reader.py is the cleaned version with the output in the clean and correct manner.
- reader.py.bak is the dirty version with all the uneccessary print commands and comments. Run at your own risk. :P