Yes, that's my conclusion as well Grant.

As for the example output:

The symposium of Tg<The>(RX3fg+and) gene studies

Should end up tokenizing to:

symposium tg the rx3fg and gene studi

Assuming I guessed right on the stemming.

Anyhow, thanks for the confirmation guys.

Matt

On 12/4/2010 8:18 PM, Grant Ingersoll wrote:
Could you expand on your example and show the output you want?  FWIW, you could 
simply write a token filter that does the same thing as the WhitespaceTokenizer.

-Grant

On Dec 3, 2010, at 1:14 PM, Matthew Hall wrote:

Hey folks, I'm working with a fairly specific set of requirements for our 
corpus that needs a somewhat tricky text type for both indexing and searching.

The chain currently looks like this:

<tokenizer class="solr.WhitespaceTokenizerFactory"/>
<filter class="solr.PatternReplaceFilterFactory"
               pattern="(.*?)(\p{Punct}*)$"
               replacement="$1"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory"
                ignoreCase="true"
                words="stopwords.txt"
                enablePositionIncrements="true"
                />
<filter class="solr.SnowballPorterFilterFactory" language="English" 
protected="protwords.txt"/>
<filter class="solr.PatternReplaceFilterFactory"
               pattern="\p{Punct}"
               replacement=" "/>
<tokenizer class="solr.WhitespaceTokenizerFactory"/>

Now you will notice that I'm trying to add in a second tokenizer to this chain 
at the very end, this is due to the final replacement of punctuation to 
whitespace.  At that point I'd like to further break up these tokens to smaller 
tokens.

The reason for this is that we have a mixed normal english word and scientific corpus.  For 
example you could expect string like "The symposium of Tg<The>(RX3fg+and) gene 
studies" being added to the index, and parts of those phrases being searched on.

We want to be able to remove the stopwords in the mostly english parts of these 
types of statements, which the whitespace tokenizer, followed by removing 
trailing punctuation,  followed by the stopfilter takes care of.  We do not 
want to remove references to genetic information contained in allele symbols 
and the like.

Sadly as far as I can tell, you cannot chain tokenizers in the schema.xml, so 
does anyone have some suggestions on how this could be accomplished?

Oh, and let me add that the WordDelimiterFilter comes really close to what I want, but since we are 
unwilling to promote our solr version to the trunk (we are on the 1.4x) version atm, the inability 
to turn off the automatic phrase queries makes it a no go.  We need to be able to make searches on 
"left/right" match "right/left."

My searches through the old material on this subject isn't really showing me 
much except some advice on using the copyField attribute.  But my understanding 
is that this will simply take your original input to the field, and then 
analyze it in two different ways depending on the field definitions.  It would 
be very nice if it were copying the already analyzed version of the text... but 
that's not what its doing, right?

Thanks for any advice on this matter.

Matt


--------------------------
Grant Ingersoll
http://www.lucidimagination.com


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