Legacy data parsing

[gov]

Hi,

I've just started to learn programming and was told this was a good
place to ask questions :)

Where I work, we receive large quantities of data which is currently
all printed on large, obsolete, dot matrix printers.  This is a problem
because the replacement parts will not be available for much longer.

So I'm trying to create a program which will capture the fixed width
text file data and convert as well as sort the data (there are several
different report types) into a different format which would allow it to
be printed normally, or viewed on a computer.

I've been reading up on the Regular Expression module and ways in which
to manipulate strings however it has been difficult to think of a way
in which to extract an address.

Here's an example of the raw text that I have to work with:


ADDRESS INFORMATION/RENSEIGNEMENTS SUR L'ADRESSE:
****************************

FOR/POUR AL/LA:  20
  CORR TYP:  A1B 2C3      P:3 CHNGD/CHANG
  LANG: E CONS/REGR:             #######
  MRS XXX X XXXXXXX
  ### XXXXXXXXX ST                      DD   TYP:               P:6
CHNGD/CHANG
  MONCTON NB                            LANG: E CONS/REGR:
#######
                                        MRS XXX X          XXXXXXX
                                        #####
                                        ####
                                        ###-###-#

ADDRESS INFORMATION/RENSEIGNEMENTS SUR L'ADRESSE:
****************************

FOR/POUR AL/LA:  30
  BOTH TYP:  A1B 2D3      P:3 CHNGD/CHANG
  LANG: E CONS/REGR:             #######
  MISS XXXX XXXXX
  ### XXXXXXXX ST
  MONCTON NB

EARNINGS VITAL INFORMATION/RENSEIGNEMENTS ESSENTIELS SUR LES GAINS:
***********

(the # = any number, and the X's are just regular text)
I would like to extract the address information, but the two different
text objects on the right hand side are difficult to remove.  I think
it would be easier if I could just extract a fixed square of
information, but I don't have a clue as to how to go about it.

If anyone could give me suggestions as to methods in sorting this type
of data, it would be appreciated.