So far, we have concentrated on Solr text analysis (analyzers, tokenizers, and filters) irrespective of any language. Solr support multiple language search and this feature puts Solr at the top of the list of search engines. Let's understand how Solr works for multiple language search.

So far all the examples we have covered are in English. The tokenization and filtering rules for English are very simple and straightforward, such as splitting at white spaces or any other delimiters, stemming, and so on. But once we start focusing on other languages, these rules may differ. Solr is already prepared to meet multiple analysis search requirements such as stemmers, synonyms filters, stop word filters, character query correction capabilities normalization, language identifiers, and so on. Some languages require their own tokenizers for complexity of parsing the language, some require their own stemming filters, and some require multiple filters as per the language characteristics. For example, here is an analyzer configured for Greek in managed-schema.xml:

<fieldType name="text_el" class="solr.TextField" positionIncrementGap="100">
 <analyzer> 
 <tokenizer class="solr.StandardTokenizerFactory"/>
 <!-- greek specific lowercase for sigma -->
 <filter class="solr.GreekLowerCaseFilterFactory"/>
 <filter class="solr.StopFilterFactory" ignoreCase="false" words="lang/stopwords_el.txt" />
 <filter class="solr.GreekStemFilterFactory"/>
 </analyzer>
 </fieldType>