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From Clemens Wyss <clemens...@mysign.ch>
Subject AW: AW: AW: AW: "fuzzy prefix" search
Date Wed, 04 May 2011 06:07:40 GMT
I know this is just an example.
But even the WhitespaceAnalyzer takes the words apart, which I don't want. I would like the
phrases as they are (maximum 3 words, e.g. "Merlot del Ticino", ...) to be n-gram-ed. I hence
want to have the n-grams.
Mer
Merl
Merlo
Merlot
Merlot
Merlot d
...

Regards
Clemens
> -----Ursprüngliche Nachricht-----
> Von: Otis Gospodnetic [mailto:otis_gospodnetic@yahoo.com]
> Gesendet: Dienstag, 3. Mai 2011 23:12
> An: java-user@lucene.apache.org
> Betreff: Re: AW: AW: AW: "fuzzy prefix" search
>
> Clemens - that's just an example.  Stick another tokenizer in there, like
> WhitespaceTokenizer in there, for example.
>
> 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 4:31:14 PM
> > Subject: AW: AW: AW: "fuzzy prefix" search
> >
> > 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
> > > > >  > > >> >> > >  >
> > > > > > > >>   >> > > >
> > >  > > > > >> >> > >  >
> > > > >  > > >> >> > > >
> >--------------------------------------------------------
> > > > > >  >  >> >> > > > ----
> > > > > > >  >>  >>  > > > ---
> > > > > > >  >> >> > > >  ---
> > > > > > >   >> >> > > > --
> > > > > >  > >>  >> > > > -  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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> > > > > >  >  >>
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> > > > > >  > >>
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