There is no problem with package scopes:

This is how I remove trailing 's' chars:

String word = token.termText();
if(word.endsWith("s")){
word = word.substring(0, word.length() - 1);
}
if ( !word.equals( token.termText() ) ) {
return new Token( word, token.startOffset(),
token.endOffset(), token.type() );
}

I'll take a look at how the Collator works to see if I can make a generic (maybe locale specific) string normaliser so I could specify the level of differences.

Stephane

Eric Isakson wrote:

If you really want to make your own TokenFilter, have a look at org.apache.lucene.analysis.LowerCaseFilter.next()

it does:
public final Token next() throws java.io.IOException {
Token t = input.next();

if (t == null)
return null;

t.termText = t.termText.toLowerCase();

return t;
}

The termText member of the Token class is package scoped, so you will have to implement your filter in the org.apache.lucene.analysis package. No worries about encoding as the termText is already a java (unicode) string. You will just have to provide the mechanism to get the accented characters converted to there non-accented equivalents. java.text.Collator has some magic that does this for string comparisons but I couldn't find any public methods that give you access to convert a string to its non-accented equivalent.

Eric
--
Eric D. Isakson SAS Institute Inc.
Application Developer SAS Campus Drive
XML Technologies Cary, NC 27513
(919) 531-3639 http://www.sas.com



-----Original Message-----
From: stephane vaucher [mailto:[EMAIL PROTECTED]]
Sent: Tuesday, December 10, 2002 2:58 PM
To: [EMAIL PROTECTED]
Subject: Accentuated characters


Hello everyone,

I wish to implement a TokenFilter that will remove accentuated characters so for example '�' will become 'e'. As I would rather not reinvent the wheel, I've tried to find something on the web and on the mailing lists. I saw a mention of a contrib that could do this (see http://www.mail-archive.com/lucene-user%40jakarta.apache.org/msg02146.html), but I don't see anything applicable.

Has anyone done this yet, if so I would much appreciate some pointers (or code), otherwise, I'll be happy to contribute whatever I produce (but it might be very simple since I'll only need to deal with french).

Cheers,
Stephane


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