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From Clemens Wyss <clemens...@mysign.ch>
Subject AW: AW: "fuzzy prefix" search
Date Tue, 03 May 2011 16:57:39 GMT
How does an simple Analyzer look that just "n-grams" the docs/fields.

class SimpleNGramAnalyzer extends Analyzer
{
@Override
public TokenStream tokenStream ( String fieldName, Reader reader )
{
   EdgeNGramTokenFilter... ???
}
}

> -----Ursprüngliche Nachricht-----
> Von: Otis Gospodnetic [mailto:otis_gospodnetic@yahoo.com]
> Gesendet: Dienstag, 3. Mai 2011 13:36
> An: java-user@lucene.apache.org
> Betreff: Re: AW: "fuzzy prefix" search
> 
> Hi,
> 
> I didn't read this thread closely, but just in case:
> * Is this something you can handle with synonyms?
> * If this is for English and you are trying to handle typos, there is a list of
> common English misspellings out there that you could use for this perhaps.
> * Have you considered n-gramming your tokens?  Not sure if this would help,
> didn't read messages/examples closely enough, but you may want to look at
> this if you haven't done so yet.
> 
> Otis
> ----
> Sematext :: http://sematext.com/ :: Solr - Lucene - Nutch Lucene ecosystem
> search :: http://search-lucene.com/
> 
> 
> 
> ----- Original Message ----
> > From: Clemens Wyss <clemensdev@mysign.ch>
> > To: "java-user@lucene.apache.org" <java-user@lucene.apache.org>
> > Sent: Tue, May 3, 2011 5:25:30 AM
> > Subject: AW: "fuzzy prefix" search
> >
> > >PrefixQuery
> > I'd like the combination of prefix and fuzzy ;-) because  people could
> >also type "menlo" or "märl" and in any of these cases I'd like to  get
> >a hit on Merlot (for suggesting Merlot)
> >
> > > -----Ursprüngliche  Nachricht-----
> > > Von: Ian Lea [mailto:ian.lea@gmail.com]
> > > Gesendet:  Dienstag, 3. Mai 2011 11:22
> > > An: java-user@lucene.apache.org
> > >  Betreff: Re: "fuzzy prefix" search
> > >
> > > I'd assumed that FuzzyQuery  wouldn't ignore case but I could be wrong.
> > >  What would be the edit  distance between "mer" and "merlot"? Would
> > > it be less that 1.5 which I  reckon would be the value of
> > > length(term)*0.5 as detailed in the  javadocs?  Seems unlikely, but
> > > I don't really know anything about  the Levenshtein (edit distance)
> algorithm as used by FuzzyQuery.
> > >  Wouldn't a PrefixQuery be more appropriate here?
> > >
> > >
> > >  --
> > > Ian.
> > >
> > > On Tue, May 3, 2011 at 10:10 AM, Clemens Wyss
> > > <clemensdev@mysign.ch>
> > >  wrote:
> > > > Unfortunately lowercasing doesn't help.
> > > > Also,  doesn't the FuzzyQuery ignore casing?
> > > >
> > > >>  -----Ursprüngliche Nachricht-----
> > > >> Von: Ian Lea [mailto:ian.lea@gmail.com]
> > > >>  Gesendet: Dienstag, 3. Mai 2011 11:06
> > > >> An: java-user@lucene.apache.org
> > >  >> Betreff: Re: "fuzzy prefix" search
> > > >>
> > > >>  Mer != mer.  The latter will be what is indexed because
> > > >> StandardAnalyzer calls LowerCaseFilter.
> > > >>
> > > >>  --
> > > >> Ian.
> > > >>
> > > >>
> > > >> On  Tue, May 3, 2011 at 9:56 AM, Clemens Wyss
> > > <clemensdev@mysign.ch>
> > > >>  wrote:
> > > >> > Sorry for coming back to my issue. Can anybody  explain why my
> > > "simple"
> > > >> unit test below fails? Any  hint/help appreciated.
> > > >> >
> > > >> > Directory  directory = new RAMDirectory(); IndexWriter
> > > >> > indexWriter =  new IndexWriter( directory, new
> > > >> > StandardAnalyzer(
> > >  Version.LUCENE_31
> > > >> > ), IndexWriter.MaxFieldLength.UNLIMITED  ); Document document
> =
> > > new
> > > >> > Document();  document.add( new Field( "test", "Merlot",
> > > >> > Field.Store.YES, Field.Index.ANALYZED ) );
> > > >> > indexWriter.addDocument(
> > >  >> > document ); IndexReader indexReader =
> > > indexWriter.getReader();
> > > >> > IndexSearcher searcher = new  IndexSearcher( indexReader );
> > > >> > Query q = new FuzzyQuery(  new Term( "test", "Mer" ), 0.5f, 0,
> > > >> > 10 ); // or Query q =  new FuzzyQuery( new Term( "test", "Mer"
> > > >> > ), 0.5f); TopDocs  result = searcher.search( q, 10 );
> > > >> > Assert.assertEquals( 1,  result.totalHits );
> > > >> >
> > > >> > -  Clemens
> > > >> >
> > > >> >> -----Ursprüngliche  Nachricht-----
> > > >> >> Von: Clemens Wyss [mailto:clemensdev@mysign.ch]
> > > >>  >> Gesendet: Montag, 2. Mai 2011 23:01
> > > >> >> An: java-user@lucene.apache.org
> > >  >> >> Betreff: AW: "fuzzy prefix" search
> > > >>  >>
> > > >> >> Is it the combination of FuzzyQuery and Term  which makes
the
> > > >> >> search to go for "word  boundaries"?
> > > >> >>
> > > >> >> >  -----Ursprüngliche Nachricht-----
> > > >> >> > Von: Clemens  Wyss [mailto:clemensdev@mysign.ch]
> > > >>  >> > Gesendet: Montag, 2. Mai 2011 14:13
> > > >> >> >  An: java-user@lucene.apache.org
> > >  >> >> > Betreff: AW: "fuzzy prefix" search
> > > >>  >> >
> > > >> >> > I tried this too, but unfortunately  I only get hits
when
> > > >> >> > the search term is a least  as long as the word to be
looked up.
> > > >> >> >
> > >  >> >> > E.g.:
> > > >> >> > ...
> > > >>  >> > Directory directory = new RAMDirectory(); IndexWriter
> > >  >> >> > indexWriter = new IndexWriter( directory,  >>
>> >
> > > IndexManager.getIndexingAnalyzer(
> > > >>  >> LOCALE_DE ),
> > > >> >> >              IndexWriter.MaxFieldLength.UNLIMITED );
> > > >> >> >
> > >  >> >> > Document document = new Document(); document.add( new
> > > Field(
> > > >> >> > "test", "Merlot",
> > > >>  >> >             Field.Store.YES, Field.Index.ANALYZED )
);
> > >  >> >> indexWriter.addDocument(
> > > >> >> >  document );
> > > >> >> >
> > > >> >> >  IndexReader indexReader = indexWriter.getReader();
> > > >> >> > IndexSearcher
> > >  >> >> > searcher = new IndexSearcher( indexReader );  >>
>> >
> > > >> >> > Query q = new FuzzyQuery(  new Term( "test", "Mer" ),
0.6f,
> > > >> >> > 1 ); TopDocs  result = searcher.search( q, 10 );
> > > >> >> > Assert.assertEquals(
> > > >>  >> > 1,
> > > >> >> result.totalHits ); ...
> > >  >> >> >
> > > >> >> > > -----Ursprüngliche  Nachricht-----
> > > >> >> > > Von: Uwe Schindler [mailto:uwe@thetaphi.de]
> > > >> >>  > > Gesendet: Montag, 2. Mai 2011 13:50
> > > >> >> >  > An: java-user@lucene.apache.org
> > >  >> >> > > Betreff: RE: "fuzzy prefix" search
> > > >>  >> > >
> > > >> >> > > Hi,
> > > >>  >> > >
> > > >> >> > > You can pass an integer  to FuzzyQuery which defines
the
> > > >> >> > > number of  characters that are seen as prefix.
So all
> > > >> >> > > terms must match
> > > >>  >> > > this prefix and the rest of each term is matched
using  fuzzy.
> > > >> >> > >
> > > >> >> > >  Uwe
> > > >> >> > >
> > > >> >> > >  -----
> > > >> >> > > Uwe Schindler
> > > >>  >> > > H.-H.-Meier-Allee 63, D-28213 Bremen
> > > >> http://www.thetaphi.de
> > >  >> >> > > eMail: uwe@thetaphi.de
> > > >> >> >  >
> > > >> >> > > > -----Original Message-----
> > >  >> >> > > > From: Clemens Wyss [mailto:clemensdev@mysign.ch]
> > > >>  >> > > > Sent: Monday, May 02, 2011 1:47 PM  >>
> > > To:
> > > >> java-user@lucene.apache.org
> > >  >> >> > > > Subject: "fuzzy prefix" search  >>
>> > > >
> > > >> >> > > > I'd  like to search fuzzily but not on a full
term.
> > > >> >> >  > > E.g.
> > > >> >> > > > I have a text "Merlot  del Ticino"
> > > >> >> > > > I'd like
> > > >>  >> > > > "mer", "merr", "melo", ... to match.
> > > >>  >> > > >
> > > >> >> > > > If I use  FuzzyQuery only "merlot,  "merlott"
hit. What
> > > >> >> >  > > Query-combination should I use?
> > > >> >> > >  >
> > > >> >> > > > Thx
> > > >> >> >  > > Clemens
> > > >> >> > > >
> > > >>  >> > > >
> > > >> >> > > >
> > > >> >> > > > --------------------------------------------------------
> > > >> >> > > > ----
> > > >>  >> > > > ---
> > > >> >> > > > ---
> > >  >> >> > > > --
> > > >> >> > > > -  To unsubscribe, e-mail:
> > > >> >> > > > java-user-unsubscribe@lucene.apache.org
> > >  >> >> > > > For additional commands, e-mail:
> > >  >> >> > > > java-user-help@lucene.apache.org  >>
>> > >
> > > >> >> > >
> > >  >> >> > >
> > > >> >> > >
> > > >> >> > > ----------------------------------------------------------
> > > >> >> > > ----
> > > >>  >> > > ---
> > > >> >> > > ---
> > > >>  >> > > - To unsubscribe, e-mail:
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> > >  >> >> > > For additional commands, e-mail:
> > > >>  >> > > java-user-help@lucene.apache.org
> > >  >> >> >
> > > >> >> >
> > > >> >>  >
> > > >> >> --------------------------------------------------------------
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> > >  >> >>
> > > >> >>
> > > >> >>
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> > > >> >
> > > >> >
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> > > >> >
> > > >>
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