Hi - We don't use that OpenNLP patch, nor do we use such kind of lemmatizer. We just rely on POS-tagging via a CharFilter with custom trained maxent models and it is fast enough.
So, do you really need that analyzer that is giving you a hard time? I don't know what that lemmatizer does but you can get a really fine search engine with POS-tagging alone, and that is fast enough. My question now is, why do you need that patch? What do you intend to do with it? Maybe you can get what you need with simpler things than that patch. Regards, Markus -----Original message----- > From:aruninfo100 <arunabraham...@gmail.com> > Sent: Wednesday 22nd March 2017 19:15 > To: solr-user@lucene.apache.org > Subject: RE: Exception while integrating openNLP with Solr > > Hi, > Thanks for the reply. > > Kindly find the filed type scghema i am using : > > <field name="opennlp_text" type="open_nlp" indexed="true" stored="true"/> > <copyField source="content" dest="opennlp_text"/> > > Does the *opennlp_text* field be indexed="true"? > > <fieldType name="open_nlp" class="solr.TextField" > positionIncrementGap="100"> > <analyzer> > <tokenizer class="solr.OpenNLPTokenizerFactory" > sentenceModel="opennlp/en-sent.bin" tokenizerModel="opennlp/en-token.bin"/> > <filter class="solr.OpenNLPFilterFactory" > posTaggerModel="opennlp/en-pos-maxent.bin"/> > <filter class="solr.OpenNLPLemmatizerFilterFactory" > dictionary="opennlp/en-lemmatizer.txt"/> > </analyzer> > </fieldType> > > Here the en-lemmatizer.txt is 7mb in size.Without lemmatization usually the > whole indexing process takes on an average basis 2-3mts,but here it is > taking more than 1hr and continuing.Is the scenario related to the > lemmatizer file. > Could you please guide me. > > Thanks, > Arun > > > > -- > View this message in context: > http://lucene.472066.n3.nabble.com/Exception-while-integrating-openNLP-with-Solr-tp4326146p4326311.html > Sent from the Solr - User mailing list archive at Nabble.com. >
