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From Clemens Wyss <clemens...@mysign.ch>
Subject AW: AW: AW: "fuzzy prefix" search
Date Tue, 03 May 2011 20:31:14 GMT
But doesn't the KeyWordTokenizer extract single words out oft he stream? I would like to create
n-grams on the stream (field content) as it is...

> -----Ursprüngliche Nachricht-----
> Von: Otis Gospodnetic [mailto:otis_gospodnetic@yahoo.com]
> Gesendet: Dienstag, 3. Mai 2011 21:31
> An: java-user@lucene.apache.org
> Betreff: Re: AW: AW: "fuzzy prefix" search
> 
> Clemens,
> 
> Something a la:
> 
> public TokenStream tokenStream (String fieldName, Reader r) {
>   return nw EdgeNGramTokenFilter(new KeywordTokenizer(r),
> EdgeNGramTokenFilter.Side.FRONT, 1, 4); }
> 
> 
> Check out page 265 of Lucene in Action 2.
> 
> 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 12:57:39 PM
> > Subject: AW: AW: "fuzzy prefix" search
> >
> > 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
> > >  > > >> >> > > >
> > > > > >>   >> > > >
> > > > > >> >> > >  >
> > > > > >> >> > > >  --------------------------------------------------------
> > > > >  >> >> > > > ----
> > > > > >>  >>  > > > ---
> > > > > >> >> > > >  ---
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> > > > > >> >> >  >
> > > > >  >> >> > >
> > > > >  >> >> > >
> > > > > >> >> > >  ----------------------------------------------------------
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