Python code to collect and compare and visualize quantifier statistics on (1) Brown corpus, (2) a small sample (100M tokens) of the WaCky corpus of Baroni et al., plus (3) two small question corpora. It also tries to fit a power law on quantifier distribution (via log-log regression). It requires the installation of matplotlib and SciPy on the Python side, a working LaTeX installation, and the four corpora used.
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Code for my IWCS 2015 paper: http://aclweb.org/anthology/W/W15/W15-0109.pdf
camilothorne/generalized-quantifiers
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Code for my IWCS 2015 paper: http://aclweb.org/anthology/W/W15/W15-0109.pdf
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