On 20/04/12 14:16, mauro fraboni wrote:
I am investigating if it is possible to use OpenNLP to parse italian post
addresses.
I do not want to validate the input address using an official address
database; I just need to divide a single address string into its individual
component parts and I thought to use NameFinder.
My idea was to train Name Finder using some italian addresses indicating in
training data the parts like Street, Town, Province, Post Code, Country
Do you think that it can work? Someone has experience about it?
Thanks and ciao.
Hmmm, that sounds like it should work....however you don't want to
separate your entities to Street, Town, Province, Post Code, Country etc
cos then how are you going to join them to get your 'real' entity
(address)? I would say keep the whole address as 1 entity and produce
some training data that mark the whole thing...of course if you already
have some training is better otherwise you will spend a bit of time
creating your annotated corpus...
My logic says that this is the way to go - maybe I'm wrong is some way....
Any different opinions anyone?
Jim
ps. In your first sentence did you by any chance mean to say "recognise"
instead of "parse"?
