before = before.replace('</body>','').replace('</html>','')
open('/home/pat/.skel/before','w').write(before).close()
before = open('/home/pat/.skel/html.basic').read()
before = before.replace('</body>','').replace('</html>','')
open('/home/pat/.skel/before','w').write(before).close()
before = open('/home/pat/.skel/html.basic').read()
before = before.replace('</body>','').replace('</html>','')
open('/home/pat/.skel/before','w').write(before).close()
enel = u"Methanol Μεθανόλη".split()
en, el = u"Methanol Μεθανόλη".split()
en
el
zip(en,el)
import translit 
en2el = Lexicon('corpora/en2el.txt')
en2el = translit.Lexicon('corpora/en2el.txt')
en2el.perfects
'Methanol' in [en for en,el in en2el.perfects]
en2el.rules
en2el.rule_model
def score(word):
 pass
def score(left,right):
 rules = zip(left,right)
 
def normality(left,right):
 score = 0
 rules = zip(left,right)
 for rule in rules:
  score += en2el.rules[rule]
 return score
normality(en,el)
from unicodedata import name
for c in u"ΝΑΤΟ": print c, name(c)
from translit import Lexicon
en2el = Lexicon('corpora/en2el.txt')
en2el.perfects
[right for left, right in en2el.perfects]
' '.join([right for left, right in en2el.perfects])
set(' '.join([right for left, right in en2el.perfects]))
sorted(set(' '.join([right for left, right in en2el.perfects])))
print ' '.join(sorted(set(' '.join([right for left, right in en2el.perfects]))))
en2el = Lexicon('corpora/en2el.txt')
from translit import Lexicon
en2el = Lexicon('corpora/en2el.txt')
en2el.left_alphabet
print en2el.left_alphabet
print en2el.right_alphabet
len( en2el.right_alphabet)
len( en2el.right_alphabet) / 2 
from translit import Lexicon
en2el = Lexicon('corpora/en2el.txt')
print en2el.right_alphabet
from translit import Lexicon
en2el = Lexicon('corpora/en2el.txt')
print en2el.right_alphabet
print en2el.left_alphabet
en2el.perfects

d['Reason']
'Reason', d['Reason']
zip('Reason', d['Reason'])
for e,g in zip('Reason', d['Reason']): print e,g 
for e,g in zip('Reason', d['Reason']): 
 print e,g
for e,g in zip('Reason', d['Reason']): 
 print e,g, en2el.rules.count((e,g))
def score(left,right): 
 for e,g in zip(left,right):
  print e,g, en2el.rules.count((e,g))
d
d['Reason']
score('Reason', d['Reason'])
score('Methanol', d['Methanol'])
score('Haircut', d['Haircut'])
def both(w): return (w, d[w])
score(both('Mnemosyne'))
(both('Mnemosyne'))
both('Mnemosyne')
score('Mnemosyne',d['Mnemosyne'])
score('Mons',d['Mons'])
score('Sofia',d['Sofia'])
[x for x in rules if 'f' in x]
[x for x in en2el.rules if 'f' in x]
for a,b in [x for x in en2el.rules if 'f' in x]: print a,b
for a,b in [x for x in en2el.rules if 'φ' in x]: print a,b
for a,b in [x for x in en2el.rules if u'φ' in x]: print a,b
en2el.left
en2el.right.count(u'φ')
for en,el in en2el.lexicon:
 if u'φ' in el: print en,el
for en,el in en2el.lexicon:
 if u'φ' in el and 'f' not in en: print en,el
for en,el in en2el.lexicon:
 if u'φ' in el and 'f' not in en and en2el.same_pattern(en,el): print en,el
for en,el in en2el.lexicon:
 if u'φ' in el and 'f' not in en: print en,el
for en,el in en2el.lexicon:
 if u'φ' in el and 'ph' in  en: print en,el
d['Alphabet']