Repository for the development of the Python-language successor to the TABARI event-data coding program. You can find the documentation for PETRARCH here. You can read more about event data here.
We seem to have settled on a few core functions at this point. Each function is designed to do a slightly different task.
#####parse
The parse command is the key functionality of PETRARCH. The expected input
is the standard TABARI-formatted lead sentences. If the input is longer than
one sentence, then the program will skip it. To run the parse command:
python petrarch.py parse -i SENTENCE_FILE -o output.txt
#####parallel_parse
The parallel_parse command does the same thing as the parse command,
but makes use of multiple cores. This command requires the Parallel Python
library (pip install pp). To run:
python petrarch.py parallel_parse -i SENTENCE_FILE -o output.txt
#####batch_parse
The batch_parse command is designed to take as input a directory of article-length
news stories, and parse them in the same manner as the single sentences in the other
commands. The main difference between batch_parse and the other parse commands is
the manner in which the program interacts with StanfordNLP. To run the command:
python petrarch.py batch_parse -i ~/sentence_directory -o output.txt