1 files changed, 0 insertions, 137 deletions
diff --git a/gi/pyp-topics/scripts/spans2labels.py b/gi/pyp-topics/scripts/spans2labels.py
deleted file mode 100755
index 50fa8106..00000000
--- a/gi/pyp-topics/scripts/spans2labels.py
+++ /dev/null
@@ -1,137 +0,0 @@
-#!/usr/bin/python
-
-import sys
-from operator import itemgetter
-
-if len(sys.argv) <= 2:
-  print "Usage: spans2labels.py phrase_context_index [order] [threshold] [languages={s,t,b}{s,t,b}] [type={tag,tok,both},{tag,tok,both}]"
-  exit(1)
-
-order=1
-threshold = 0
-cutoff_cat = "<UNK>"
-if len(sys.argv) > 2:
-  order = int(sys.argv[2])
-if len(sys.argv) > 3:
-  threshold = float(sys.argv[3])
-phr=ctx='t'
-if len(sys.argv) > 4:
-  phr, ctx = sys.argv[4]
-  assert phr in 'stb'
-  assert ctx in 'stb'
-phr_typ = ctx_typ = 'both'
-if len(sys.argv) > 5:
-  phr_typ, ctx_typ = sys.argv[5].split(',')
-  assert phr_typ in ('tag', 'tok', 'both')
-  assert ctx_typ in ('tag', 'tok', 'both')
-
-#print >>sys.stderr, "Loading phrase index"
-phrase_context_index = {}
-for line in file(sys.argv[1], 'r'):
-  phrase,tail= line.split('\t')
-  contexts = tail.split(" ||| ")
-  try: # remove Phil's bizarre integer pair
-       x,y = contexts[0].split()
-       x=int(x); y=int(y)
-       contexts = contexts[1:]
-  except:
-       pass
-  if len(contexts) == 1: continue
-  assert len(contexts) % 2 == 0
-  for i in range(0, len(contexts), 2):
-    #parse contexts[i+1] = " C=1 P=0.8 ... "
-    features=dict([ keyval.split('=') for keyval in contexts[i+1].split()])
-    category = features['C']    
-    if features.has_key('P') and float(features['P']) < threshold:
-	category = cutoff_cat
-    
-    phrase_context_index[(phrase,contexts[i])] = category 
-    #print (phrase,contexts[i]), category
-
-#print >>sys.stderr, "Labelling spans"
-for line in sys.stdin:
-  #print >>sys.stderr, "line", line.strip()
-  line_segments = line.split(' ||| ')
-  assert len(line_segments) >= 3
-  source = ['<s>' for x in range(order)] + line_segments[0].split() + ['</s>' for x in range(order)]
-  target = ['<s>' for x in range(order)] + line_segments[1].split() + ['</s>' for x in range(order)]
-  phrases = [ [int(i) for i in x.split('-')] for x in line_segments[2].split()]
-
-  if phr_typ != 'both' or ctx_typ != 'both':
-    if phr in 'tb' or ctx in 'tb':
-        target_toks = ['<s>' for x in range(order)] + map(lambda x: x.rsplit('_', 1)[0], line_segments[1].split()) + ['</s>' for x in range(order)]
-        target_tags = ['<s>' for x in range(order)] + map(lambda x: x.rsplit('_', 1)[-1], line_segments[1].split()) + ['</s>' for x in range(order)]
-
-        if phr in 'tb':
-            if phr_typ == 'tok':
-                targetP = target_toks
-            elif phr_typ == 'tag':
-                targetP = target_tags
-        if ctx in 'tb':
-            if ctx_typ == 'tok':
-                targetC = target_toks
-            elif ctx_typ == 'tag':
-                targetC = target_tags
-
-    if phr in 'sb' or ctx in 'sb':
-        source_toks = ['<s>' for x in range(order)] + map(lambda x: x.rsplit('_', 1)[0], line_segments[0].split()) + ['</s>' for x in range(order)]
-        source_tags = ['<s>' for x in range(order)] + map(lambda x: x.rsplit('_', 1)[-1], line_segments[0].split()) + ['</s>' for x in range(order)]
-
-        if phr in 'sb':
-            if phr_typ == 'tok':
-                sourceP = source_toks
-            elif phr_typ == 'tag':
-                sourceP = source_tags
-        if ctx in 'sb':
-            if ctx_typ == 'tok':
-                sourceC = source_toks
-            elif ctx_typ == 'tag':
-                sourceC = source_tags
-  else:
-    sourceP = sourceC = source
-    targetP = targetC = target
-
-  #print >>sys.stderr, "line", source, '---', target, 'phrases', phrases
-
-  print "|||",
-
-  for s1,s2,t1,t2 in phrases:
-    s1 += order
-    s2 += order
-    t1 += order
-    t2 += order
-
-    phraset = phrases = contextt = contexts = ''
-    if phr in 'tb':
-        phraset = reduce(lambda x, y: x+y+" ", targetP[t1:t2], "").strip()
-    if phr in 'sb':
-        phrases = reduce(lambda x, y: x+y+" ", sourceP[s1:s2], "").strip()
-
-    if ctx in 'tb':
-        left_context = reduce(lambda x, y: x+y+" ", targetC[t1-order:t1], "")
-        right_context = reduce(lambda x, y: x+y+" ", targetC[t2:t2+order], "").strip()
-        contextt = "%s<PHRASE> %s" % (left_context, right_context)
-    if ctx in 'sb':
-        left_context = reduce(lambda x, y: x+y+" ", sourceC[s1-order:s1], "")
-        right_context = reduce(lambda x, y: x+y+" ", sourceC[s2:s2+order], "").strip()
-        contexts = "%s<PHRASE> %s" % (left_context, right_context)
-
-    if phr == 'b':
-        phrase = phraset + ' <SPLIT> ' + phrases
-    elif phr == 's':
-        phrase = phrases
-    else:
-        phrase = phraset
-
-    if ctx == 'b':
-        context = contextt + ' <SPLIT> ' + contexts
-    elif ctx == 's':
-        context = contexts
-    else:
-        context = contextt
-
-    #print "%d-%d-%d-%d looking up" % (s1-order,s2-order,t1-order,t2-order), (phrase, context)
-    label = phrase_context_index.get((phrase,context), cutoff_cat)
-    if label != cutoff_cat: #cutoff'd spans are left unlabelled
-      print "%d-%d-%d-%d:X%s" % (s1-order,s2-order,t1-order,t2-order,label),
-  print