Vfrdtyky

:) I tried using w = Word(printables), but it isn't working. How should I give the spec for this. 'w' is meant to process Hindi characters (UTF-8)

The code specifies the grammar and parses accordingly.

671.assess  :: अहसास  ::2

x=number + "." + src + "::" + w + "::" + number + "." + number

If there is only english characters it is working so the code is correct for the ascii format but the code is not working for the unicode format.

I mean that the code works when we have something of the form
671.assess :: ahsaas ::2

i.e. it parses words in the english format, but I am not sure how to parse and then print characters in the unicode format. I need this for English Hindi word alignment for purpose.

The python code looks like this:

# -*- coding: utf-8 -*-

from pyparsing import Literal, Word, Optional, nums, alphas, ZeroOrMore, printables , Group , alphas8bit , 

# grammar 

src = Word(printables)

trans =  Word(printables)

number = Word(nums)

x=number + "." + src + "::" + trans + "::" + number + "." + number

#parsing for eng-dict

efiledata = open('b1aop_or_not_word.txt').read()

eresults = x.parseString(efiledata)

edict1 = {}

edict2 = {}

counter=0

xx=list()

for result in eresults:

  trans=""#translation string

  ew=""#english word

  xx=result[0]

  ew=xx[2]

  trans=xx[4]   

  edict1 = { ew:trans }

  edict2.update(edict1)

print len(edict2) #no of entries in the english dictionary

print "edict2 has been created"

print "english dictionary" , edict2 



#parsing for hin-dict

hfiledata = open('b1aop_or_not_word.txt').read()

hresults = x.scanString(hfiledata)

hdict1 = {}

hdict2 = {}

counter=0

for result in hresults:

  trans=""#translation string

  hw=""#hin word

  xx=result[0]  

  hw=xx[2]

  trans=xx[4]

  #print trans

  hdict1 = { trans:hw }

  hdict2.update(hdict1)



print len(hdict2) #no of entries in the hindi dictionary

print"hdict2 has been created"

print "hindi dictionary" , hdict2

'''

#######################################################################################################################



def translate(d, ow, hinlist):

   if ow in d.keys():#ow=old word d=dict

    print ow , "exists in the dictionary keys"

        transes = d[ow]

    transes = transes.split()

        print "possible transes for" , ow , " = ", transes

        for word in transes:

            if word in hinlist:

        print "trans for" , ow , " = ", word

                return word

        return None

   else:

        print ow , "absent"

        return None



f = open('bidir','w')

#lines = ["'

#5# 10 # and better performance in business in turn benefits consumers .  # 0 0 0 0 0 0 0 0 0 0 

#5# 11 # vHyaapaar mEmn bEhtr kaam upbhOkHtaaomn kE lIe laabhpHrdd hOtaa hAI .  # 0 0 0 0 0 0 0 0 0 0 0 

#'"]

data=open('bi_full_2','rb').read()

lines = data.split('!@#$%')

loc=0

for line in lines:

    eng, hin = [subline.split(' # ')

                for subline in line.strip('n').split('n')]



    for transdict, source, dest in [(edict2, eng, hin),

                                    (hdict2, hin, eng)]:

        sourcethings = source[2].split()

        for word in source[1].split():

            tl = dest[1].split()

            otherword = translate(transdict, word, tl)

            loc = source[1].split().index(word)

            if otherword is not None:

                otherword = otherword.strip()

                print word, ' <-> ', otherword, 'meaning=good'

                if otherword in dest[1].split():

                    print word, ' <-> ', otherword, 'trans=good'

                    sourcethings[loc] = str(

                        dest[1].split().index(otherword) + 1)



        source[2] = ' '.join(sourcethings)



    eng = ' # '.join(eng)

    hin = ' # '.join(hin)

    f.write(eng+'n'+hin+'nnn')

f.close()

'''

if an example input sentence for the source file is:

1# 5 # modern markets : confident consumers  # 0 0 0 0 0 

1# 6 # AddhUnIk baajaar : AshHvsHt upbhOkHtaa .  # 0 0 0 0 0 0 

!@#$%

the ouptut would look like this :-

1# 5 # modern markets : confident consumers  # 1 2 3 4 5 

1# 6 # AddhUnIk baajaar : AshHvsHt upbhOkHtaa .  # 1 2 3 4 5 0 

!@#$%

Output Explanation:-
This achieves bidirectional alignment.
It means the first word of english 'modern' maps to the first word of hindi 'AddhUnIk' and vice versa. Here even characters are take as words as they also are an integral part of bidirectional mapping. Thus if you observe the hindi WORD '.' has a null alignment and it maps to nothing with respect to the English sentence as it doesn't have a full stop.
The 3rd line int the output basically represents a delimiter when we are working for a number of sentences for which your trying to achieve bidirectional mapping.

What modification should i make for it to work if the I have the hindi sentences in Unicode(UTF-8) format.

As a general rule, do not process encoded bytestrings: make them into proper unicode strings (by calling their .decode method) as soon as possible, do all of your processing always on unicode strings, then, if you have to for I/O purposes, .encode them back into whatever bytestring encoding you require.

If you're talking about literals, as it seems you are in your code, the "as soon as possible" is at once: use u'...' to express your literals. In a more general case, where you're forced to do I/O in encoded form, it's immediately after input (just as it's immediately before output if you need to perform output in a specific encoded form).

Pyparsing's printables only deals with strings in the ASCII range of characters. You want printables in the full Unicode range, like this:

unicodePrintables = u''.join(unichr(c) for c in xrange(sys.maxunicode) 

                                        if not unichr(c).isspace())

Now you can define trans using this more complete set of non-space characters:

trans = Word(unicodePrintables)

I was unable to test against your Hindi test string, but I think this will do the trick.

(If you are using Python 3, then there is no separate unichr function, and no xrange generator, just use:

unicodePrintables = ''.join(chr(c) for c in range(sys.maxunicode) 

                                        if not chr(c).isspace())

EDIT:

With the recent release of pyparsing 2.3.0, new namespace classes have been defined to give printables, alphas, nums, and alphanums for various Unicode language ranges.

import pyparsing as pp

pp.Word(pp.pyparsing_unicode.printables)

pp.Word(pp.pyparsing_unicode.Devanagari.printables)

pp.Word(pp.pyparsing_unicode.देवनागरी.printables)