On Fri, Jan 15, 2010 at 2:09 AM, Brian Quinion
openstreet...@brian.quinion.co.uk wrote:
Lucene uses Double Metaphone[1] (amongst others) and it works really
nice across multiple languages. Certainly the best I've seen so far
and the one OSMdoc is using in the next version.
A bit of
On Tue, 2010-01-26 at 14:49 +, Brian Quinion wrote:
On Fri, Jan 15, 2010 at 2:09 AM, Brian Quinion
openstreet...@brian.quinion.co.uk wrote:
Lucene uses Double Metaphone[1] (amongst others) and it works really
nice across multiple languages. Certainly the best I've seen so far
and the
this is usually handled by using a specific language spelling =
phonemes translator.
so that would need a setting for 'language of the destination'
which can be found automatically if a country name can be found in the
text
Language of the destination is indeterminate because they could be
Also it isn't the phonetic spelling that is really the problem - the
problem is that a lot of the time mistakes are typos not
miss-spellings i.e. Lonon which is phonetically completely different
to London despite being obvious that someone just missed the 'd' when
they were typing.
In that
If you set up a phonetic search, make sure to take care of
http://wiki.openstreetmap.org/wiki/Phonetics
There are streets called John-F.-Kennedy-Chaussee (English and French
pronounciation in sorbian speaking areas of Germany...!
I invented this to enable screen readers for the blind to find
In the Haiti response, someone asked about the Location of Lilavois. That
gets no results on most gazateers, except this one
http://dma.jrc.it/services/gazetteer/?q=lilavoiscc=HA
The place is actually called Lillavois (two L's). This gazateer searches
phonetically.
== Mikel Maron ==
On Thu, Jan 14, 2010 at 4:57 PM, Mikel Maron mikel_ma...@yahoo.com wrote:
In the Haiti response, someone asked about the Location of Lilavois. That
gets no results on most gazateers, except this one
http://dma.jrc.it/services/gazetteer/?q=lilavoiscc=HA
The place is actually called Lillavois
I'd love to do something like this but have so far been unable to find
a suggest / phonetic algorithm that scales to 5.4 million
words/phrases across more than a hundered languages. The geocoder you
mention doesn't seem to do street level - which simplifies the problem
by at least a couple
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