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authortrevor.cohn <trevor.cohn@ec762483-ff6d-05da-a07a-a48fb63a330f>2010-07-20 18:37:04 +0000
committertrevor.cohn <trevor.cohn@ec762483-ff6d-05da-a07a-a48fb63a330f>2010-07-20 18:37:04 +0000
commitf281f2deac864d57a0eb566ae1f1c203ee5a8623 (patch)
tree9de5753f91edab5b89fd40152360f0e7135818cb /gi/evaluation/conditional_entropy.py
parent9380fb4819f3ed56cb7ad77a43728718039389cc (diff)
Cleaned up scripts
git-svn-id: https://ws10smt.googlecode.com/svn/trunk@336 ec762483-ff6d-05da-a07a-a48fb63a330f
Diffstat (limited to 'gi/evaluation/conditional_entropy.py')
-rw-r--r--gi/evaluation/conditional_entropy.py61
1 files changed, 61 insertions, 0 deletions
diff --git a/gi/evaluation/conditional_entropy.py b/gi/evaluation/conditional_entropy.py
new file mode 100644
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+++ b/gi/evaluation/conditional_entropy.py
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+#!/usr/bin/env python
+
+import sys, math, itertools, getopt
+
+def usage():
+ print >>sys.stderr, 'Usage:', sys.argv[0], '[-s slash_threshold] input-1 input-2'
+ sys.exit(0)
+
+optlist, args = getopt.getopt(sys.argv[1:], 'hs:')
+slash_threshold = None
+for opt, arg in optlist:
+ if opt == '-s':
+ slash_threshold = int(arg)
+ else:
+ usage()
+if len(args) != 2:
+ usage()
+
+ginfile = open(args[0])
+pinfile = open(args[1])
+
+# evaluating: H(G | P) = sum_{g,p} p(g,p) log { p(p) / p(g,p) }
+# = sum_{g,p} c(g,p)/N { log c(p) - log N - log c(g,p) + log N }
+# = 1/N sum_{g,p} c(g,p) { log c(p) - log c(g,p) }
+# where G = gold, P = predicted, N = number of events
+
+N = 0
+gold_frequencies = {}
+predict_frequencies = {}
+joint_frequencies = {}
+
+for gline, pline in itertools.izip(ginfile, pinfile):
+ gparts = gline.split('||| ')[1].split()
+ pparts = pline.split('||| ')[1].split()
+ assert len(gparts) == len(pparts)
+
+ for gpart, ppart in zip(gparts, pparts):
+ gtag = gpart.split(':',1)[1]
+ ptag = ppart.split(':',1)[1]
+
+ if slash_threshold == None or gtag.count('/') + gtag.count('\\') <= slash_threshold:
+ joint_frequencies.setdefault((gtag, ptag), 0)
+ joint_frequencies[gtag,ptag] += 1
+
+ predict_frequencies.setdefault(ptag, 0)
+ predict_frequencies[ptag] += 1
+
+ gold_frequencies.setdefault(gtag, 0)
+ gold_frequencies[gtag] += 1
+
+ N += 1
+
+hg2p = 0
+hp2g = 0
+for (gtag, ptag), cgp in joint_frequencies.items():
+ hp2g += cgp * (math.log(predict_frequencies[ptag], 2) - math.log(cgp, 2))
+ hg2p += cgp * (math.log(gold_frequencies[gtag], 2) - math.log(cgp, 2))
+hg2p /= N
+hp2g /= N
+
+print 'H(P|G)', hg2p, 'H(G|P)', hp2g, 'VI', hg2p + hp2g