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from __future__ import division
import math
from cdec.sa import isvar
MAXSCORE = 99
def EgivenF(ctx): # p(e|f) = c(e, f)/c(f)
if not ctx.online:
prob = ctx.paircount/ctx.fcount
else:
prob = (ctx.paircount + ctx.online.paircount) / (ctx.fcount + ctx.online.fcount)
return -math.log10(prob)
def CountEF(ctx): # c(e, f)
if not ctx.online:
count = 1 + ctx.paircount
else:
count = 1 + ctx.paircount + ctx.online.paircount
return math.log10(count)
def SampleCountF(ctx): # sample c(f)
if not ctx.online:
count = 1 + ctx.fsample_count
else:
count = 1 + ctx.fsample_count + ctx.online.fsample_count
return math.log10(count)
def EgivenFCoherent(ctx): # c(e, f) / sample c(f)
if not ctx.online:
prob = ctx.paircount/ctx.fsample_count
else:
prob = (ctx.paircount + ctx.online.paircount) / (ctx.fsample_count + ctx.online.fsample_count)
return -math.log10(prob) if prob > 0 else MAXSCORE
def CoherenceProb(ctx): # c(f) / sample c(f)
if not ctx.online:
prob = ctx.fcount/ctx.fsample_count
else:
prob = (ctx.fcount + ctx.online.fcount) / (ctx.fsample_count + ctx.online.fsample_count)
return -math.log10(prob)
def MaxLexEgivenF(ttable):
def MaxLexEgivenF(ctx):
fwords = ctx.fphrase.words
fwords.append('NULL')
# Always use this for now
if not ctx.online or ctx.online:
maxOffScore = 0.0
for e in ctx.ephrase.words:
maxScore = max(ttable.get_score(f, e, 0) for f in fwords)
maxOffScore += -math.log10(maxScore) if maxScore > 0 else MAXSCORE
return maxOffScore
else:
# For now, straight average
maxOffScore = 0.0
maxOnScore = 0.0
for e in ctx.ephrase.words:
maxScore = max(ttable.get_score(f, e, 0) for f in fwords)
maxOffScore += -math.log10(maxScore) if maxScore > 0 else MAXSCORE
for e in ctx.ephrase:
if not isvar(e):
maxScore = 0.0
for f in ctx.fphrase:
if not isvar(f):
b_f = ctx.online.bilex_f.get(f, 0)
if b_f:
maxScore = max(maxScore, ctx.online.bilex_fe.get(f, {}).get(e))
maxOnScore += -math.log10(maxScore) if maxScore > 0 else MAXSCORE
return (maxOffScore + maxOnScore) / 2
return MaxLexEgivenF
def MaxLexFgivenE(ttable):
def MaxLexFgivenE(ctx):
ewords = ctx.ephrase.words
ewords.append('NULL')
# Always use this for now
if not ctx.online or ctx.online:
maxOffScore = 0.0
for f in ctx.fphrase.words:
maxScore = max(ttable.get_score(f, e, 1) for e in ewords)
maxOffScore += -math.log10(maxScore) if maxScore > 0 else MAXSCORE
return maxOffScore
else:
# For now, straight average
maxOffScore = 0.0
maxOnScore = 0.0
for f in ctx.fphrase.words:
maxScore = max(ttable.get_score(f, e, 1) for e in ewords)
maxOffScore += -math.log10(maxScore) if maxScore > 0 else MAXSCORE
for f in ctx.fphrase:
if not isvar(f):
maxScore = 0.0
for e in ctx.ephrase:
if not isvar(e):
b_e = ctx.online.bilex_e.get(e, 0)
if b_e:
maxScore = max(maxScore, ctx.online.bilex_fe.get(f, {}).get(e, 0) / b_e )
maxOnScore += -math.log10(maxScore) if maxScore > 0 else MAXSCORE
return (maxOffScore + maxOnScore) / 2
return MaxLexFgivenE
def IsSingletonF(ctx):
if not ctx.online:
count = ctx.fcount
else:
count = ctx.fcount + ctx.online.fcount
return math.fabs(count - 1) < 1e-6
def IsSingletonFE(ctx):
if not ctx.online:
count = ctx.paircount
else:
count = ctx.paircount + ctx.online.paircount
return (count == 1)
def IsNotSingletonF(ctx):
if not ctx.online:
count = ctx.fcount
else:
count = ctx.fcount + ctx.online.fcount
return (count > 1)
def IsNotSingletonFE(ctx):
if not ctx.online:
count = ctx.paircount
else:
count = ctx.paircount + ctx.online.paircount
return (ctx.paircount > 1)
def IsFEGreaterThanZero(ctx):
if not ctx.online:
count = ctx.paircount
else:
count = ctx.paircount + ctx.online.paircount
return (ctx.paircount > 0.01)
def IsSupportedOnline(ctx): # Occurs in online data?
if ctx.online:
return (ctx.online.paircount > 0.01)
else:
return False
def CountExceptLM(vocab):
def CountExceptLM(ctx): # In bitext (inc online data) but NOT mono text
return sum(1 for e in ctx.ephrase.words if e not in vocab)
return CountExceptLM
def CountExceptLex(ttable):
def CountExceptLex(ctx):
count = 0.0
for e in ctx.ephrase.words:
if not ttable.contains_e_word(e):
count += 1
return count
return CountExceptLex
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