Porter stemmer is already in there.  The main issue with Porter is
that it's English only.

There is no general game-plan for fuzzy search at this time, though if
someone wants to step into the breech, go for it!  Even a prototype
which demonstrates the concepts and problems but isn't
production-ready would be worth something.

My current focus for the next generation is international support
(this is more of a Google Gears project, but with focus on SQLite so
there is likely to be stuff checked in on the SQLite side), and more
scalable/manageable indexing.  Not a lot of focus on things like
quality and recall, mostly because I'm not aware of any major users
with enough of an installed baseline to even generate decent metrics.
[Basically, solving concrete identified problems rather than looking
for ill-defined potential problems.]

-scott


On 8/24/07, Uma Krishnan <[EMAIL PROTECTED]> wrote:
> Would it not be more useful to first implement potter stemmer algorithm, and 
> then to implement n-gram (as I understand n-gram is for cross column fuzzy 
> search?). What is the general game plan for FTS3 with regard to fuzzy search?
>
>   Thanks in advance
>
> "Cesar D. Rodas" <[EMAIL PROTECTED]> wrote:
>   On 23/08/07, Scott Hess wrote:
> > On 8/20/07, Cesar D. Rodas wrote:
> > > As I know ( I can be wrong ) SQLite Full Text Search is only match with 
> > > hole
> > > words right? It could not be
> > > And also no FT extension to db ( as far I know) is miss spell tolerant,
> >
> > Yes, fts is matching exactly. There is some primitive support for
> > English stemming using the Porter stemmer, but, honestly, it's not
> > well-exercised.
> >
> > > And
> > > I've found this Paper that talks about *Using Superimposed Coding Of 
> > > N-Gram
> > > Lists For Efficient Inexact Matching*
> >
> > http://citeseer.ist.psu.edu/cache/papers/cs/22812/http:zSzzSzwww.novodynamics.comzSztrenklezSzpaperszSzatc92v.pdf/william92using.pdf
> > >
> > > I was reading and it is not so hard to implement, but it cost a extra
> > > storage space, but I think the benefits are more.
> > >
> > > Also following this paper could be done a way to match with fragments of
> > > words... what do you think of it?
> >
> > It's an interesting paper, and I must say that anything which involves
> > Bloom Filters automatically draws my attention :-).
>
> Yeah. I am doing some investigations about that, I love that too. And
> I was watching that with n-grams you get a filter to stop common
> words, and could be used as a stemming-like algorithm but independent
> from the language.
>
> I was thinking to implement this
> http://www.mail-archive.com/sqlite-users%40sqlite.org/msg26923.html
> when I finish up some things. What do you think of it?
>
> > While I think spelling-suggestion might be valuable for fts in the
> > longer term, I'm not very enthusiastic about this particular model.
> > It seems much more useful in the standard indexing model of building
> > the index, manually tweaking it, and then doing a ton of queries
> > against it. fts is really fairly constrained, because many use-cases
> > are more along the lines of update the index quite a bit, and query it
> > only a few times.
> >
> > Also, I think the concepts in the paper might have very significant
> > problems handling Unicode, because the bit vectors will get so very
> > large. I may be wrong, sometimes the overlapping-vector approach can
> > have surprising relevance depending on the frequency distribution of
> > the things in the vector. It would need some experimentation to
> > figure that out.
> >
> > Certainly something to bookmark, though.
> >
> > Thanks,
> > scott
> >
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> >
>
>
>
> --
> Cesar D. Rodas
> http://www.cesarodas.com/
> Mobile Phone: 595 961 974165
> Phone: 595 21 645590
> [EMAIL PROTECTED]
> [EMAIL PROTECTED]
>
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>
>

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