This talk will explore the challenges of Multilingual search, including language-specific issues — like N-gram segmentation vs. morphological analysis, stemming vs. lemmatization, and language identification — and the various approaches to configuring your Solr schema. We will also discuss the integration strategies for common text analytics capabilities and the impact of multilingual content on application design.
Solr is a powerful search engine which rapidly gained acceptance as an alternative to commercial search solutions for many applications. There are many features required by organizations to serve their diverse communities, among these is the ability to deliver search excellence in foreign languages. Delivering quality multilingual search involves careful design of schemas and selection of the best linguistic approach for each supported language.