Over a million developers have joined DZone.

Testing Polish Language Analysis Solr 4.0

DZone's Guide to

Testing Polish Language Analysis Solr 4.0

· Java Zone
Free Resource

Learn how to troubleshoot and diagnose some of the most common performance issues in Java today. Brought to you in partnership with AppDynamics.

Because Polish language analysis functionality has been present in Lucene (and Solr) for some time I decided to take a look and compare it on the basis of upcoming Lucene and Solr 4.0.


At the time of writing, the following options were present when it comes to analyzing Polish:

  • Use Stempel library (available since Solr 3.1)
  • Use Hunspell and Polish dictionaries (available since Solr 3.5)
  • Use Morfologik library (will be available in Solr 4.0, SOLR-3272).


Lets look at how to configure all the above options in Solr (please remember that all the following configuration examples are based on Solr 4.0).


In order to add Polish stemming using the Stempel library, we just need to add the following filter to our type definition
<filter class="solr.StempelPolishStemFilterFactory" />

In addition to that, you need to add lucene-analyzers-stempel-4.0.jar library and apache-solr-analysis-extras-4.0.jar library to SOLR_HOME/lib. It’s also a good idea to use solr.LowerCaseFilterFactory before the Stempel filter.


Similar to the configuration above, to use Hunspell you need to add a new filter to your type definition. For example in the following way:

<filter class="solr.HunspellStemFilterFactory" dictionary="pl_PL.dic" affix="pl_PL.aff" ignoreCase="true" />

Parameters dictionary and affix are responsible for dictionary definition that we want to use. The ignoreCase parameter set to true tells Hunspell to ignore character case. You can find Hunspell dictionaries at the following URL: http://wiki.services.openoffice.org/wiki/Dictionaries.


Similar to the two above examples all you need to change in your schema.xml is adding a new filter, this time the following way:

<filter class="solr.MorfologikFilterFactory" dictionary="MORFOLOGIK" />

The dictionary parameter tell Solr which dictionary you would like to use. You can choose the one from the following three:


In addition to that, you need to add the following libraries to the SOLR_HOME/lib: lucene-analyzers-morfologik-4.0.jar, apache-solr-analysis-extras-4.0.jar, morfologik-fsa-1.5.2.jar, morfologik-polish-1.5.2.jar and morfologik-stemming-1.5.2.jar.

Results Comparison

Of course I wasn’t able to judge the results of analysis from the above three filters on the whole Polish language corpus and that’s why I decided to choose four work, to see the each of the filters behave. Those words are: “urodzić urodzony urodzona urodzeni” (this words are variations of the born word in Polish). The results are as follows:


The terms I got from Stempel were the following ones:

[urodzić] [urodzo] [urodzona] [urodzeni]

Not all of them are words, but you have to remember that Stempel is a stemmer and because of that it produce stems which can be different from the actual words or their root forms. It is important to have the words we are interested in to be processed to the same tokens, which will allow to find those words by Lucene/Solr. Remembering that, I have to say, that the results of analysis using Stempel are not as good as I would like them to be. For example by searching for urodzić word you won’t be able to find documents with words like urodzona or urodzić.


The result of Hunspell analysis were as follows:

[urodzić, urodzić] [urodzony, urodzić] [urodzić] [urodzić, urodzony, urodzenie]

Comparing the results I got when using Hunspell to those Stempel produced we can see the difference. Our sample query for the urodzić word, would find documents with words like urodzony, urodzona oraz urodzeni, which is quite nice. You can also notice, that with three words we got more than one term on the same positions. The results I got when using Hunspell are OK and I think they should satisfy most of the users (they do satisfy me), but lets have a look on the newly introduced filter in Lucene and Solr – Morrfologik.


The results of Morfologik analysis were as follows:

[urodzić] [urodzony, urodzić] [urodzić] [urodzić, urodzony]

Again, if you compare those the the ones got when using Hunspell you can hardly see the difference (of course in this particular case). The only difference between Hunspell and Morfologik is the last term for which we got different results. In my opinion the results achieved with Morfologik, are satisfying.


The performance test was done in a simple manner – for each filter I’ve indexed 5 million documents, where all the text fields were based on Polish language analysis with appropriate filter (in addition to that some standard filters like stopwords, synonyms and so on). Every time the indexation was done on a clean Solr 4.0 instance. Because of using Data Import Handler I’ve sent commit every 100k documents. The index contained several fields, but the actual index structure was not crucial for the test as I indexed the same set of documents every time. Following are the test results:

Filter Stempel Hunspell Morfologik
Indexing time 99 minutes > 10 hours 100 minutes

Warning: At the time of writing, according to  SOLR-3245 JIRA issue there is a problem with Hunspell performance with Polish dictionaries and Solr 4.0. I’m almost certain that this situation will be resolved by the time Solr 4.0 will be released. But right now performance of Hunspell with Polish dictionaries and Solr 4.0 may not be sufficient.

Short Summary

Despite not having performance results for Hunspell (because I don’t count the ones I have right now as correct ones) we can see that Hunspell and Morfologik are good candidates for Polish language analysis. Looking at Morfologik we have similar performance to Stempel, but Morfologik results are better in my opinion and that will make your user more happy.

Understand the needs and benefits around implementing the right monitoring solution for a growing containerized market. Brought to you in partnership with AppDynamics.


Published at DZone with permission of Rafał Kuć, DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.


Dev Resources & Solutions Straight to Your Inbox

Thanks for subscribing!

Awesome! Check your inbox to verify your email so you can start receiving the latest in tech news and resources.


{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}