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From Philipp_Bre...@sonydadc.com
Subject Re: special character with lucene
Date Mon, 28 Feb 2005 15:36:55 GMT
Usually the text is in one specific language. English, German, Spanish, 
French, ... 
However, I dont really have a runtime identifier which language it is. I 
could only pick a few words and decide from there (?) - if this is a good 
idea?

Is there a tool part of lucene that helps deciding what language a 
specific text is?

In a simple test I noticed that StandardAnalyzer removes special 
characters like ä, ö, ... If I leave the characters the way they are, I 
don't find f.e the German word "Äpfel" anymore. So it looks like there are 
only two solutions:

a)      - decide which language it is by choosing a few words from the 
text
        - use the language specific analyzer; where do I find Spanish and 
Frensh analyzer?

b)      - replace each special character (ä, ö, ...) with some code &#239, 
.... There is no stemming then.

Any help is appreciated,
Greetings,
Philipp






Erik Hatcher <erik@ehatchersolutions.com> 
28.02.2005 16:17
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Re: special character with lucene








On Feb 28, 2005, at 10:01 AM, Philipp_Breuss@sonydadc.com wrote:
> Hello,
> I would like to build a search engine using several different 
> languages -
> f.e. Spanish names, French names, ...

Will your text be a mix of languages within a single field?  Or would 
each document (or field) be a single language?

> - Using a different analyzer for each language would be one solution.

You will most likely have to use a different analyzer for each 
language, though that depends on the answers to the above.

> - But how about replacing each special character (Umlaute, ...ä, ö, 
> ...)
> with its html special character before indexing and doing the same with
> each search query before searching??

An HTML entity is more than one character.  The simplest is to leave 
the characters as-is, in Unicode.

> This seems to me the simplest approach to handling this issues - ?
>
> What are the drawbacks? No Stem search? Other considerations?

Stemming is language-specific, which factors into your analyzer(s) 
choices.

                 Erik


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