|Parsing postal addresses email@example.com (1997-10-14)|
|Re: Parsing postal addresses firstname.lastname@example.org (John Lindsay) (1997-10-16)|
|Re: Parsing postal addresses email@example.com (1997-10-16)|
|Re: Parsing postal addresses firstname.lastname@example.org (1997-10-17)|
|Re: Parsing postal addresses email@example.com (Henry Spencer) (1997-10-19)|
|Re: Parsing postal addresses firstname.lastname@example.org (1997-10-21)|
|Re: Parsing postal addresses email@example.com (W. Craig Trader) (1997-10-26)|
|From:||firstname.lastname@example.org (Alex Colvin)|
|Date:||21 Oct 1997 21:24:06 -0400|
|Organization:||Dartmouth College, Hanover, NH, USA|
email@example.com (Brians0) writes:
>I am looking for information on parsing postal addresses (especially
>US addresses). Specifically, I am looking for code and/or libraries to
>standardize addresses (in accordance with USPS rules). Examples in
>JavaCC, Lex/Yacc, and PCCTS or pointers to libraries that do this
>would be best, but any help would be much appreciated.
typically you parse a US street address into
house number, pre-directional, street name, street type, post directional city, state, zip zip4
with optional apartment numbers and a wide set of abbrevioations.
The classic example is 123 E E E St. = 123E East E Street.
This takes more than a regular expression parser.
It's also a frequently solved problem. See
PostalSoft Inc. (http://www.postalsoft.com)
Qualitative Marketing (http://www.qmsoft.com)
Matchware Technologies (http://www.matchware.com)
Of course, if you want to parse French Canadian addresses...
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