Language analyzers in Azure Search

A language analyzer is a specific component of a full-text search engine that performs lexical analysis using the linguistic rules of the target language. Every searchable field has an analyzer property. If your index contains translated strings, such as separate fields for English and Chinese text, you could specify language analyzers on each field to access the rich linguistic capabilites of those analyzers.

Azure Search supports 35 analyzers backed by Lucene, and 50 analyzers backed by proprietary Microsoft natural language processing technology used in Office and Bing.

Compare language analyzer types

Some developers might prefer the more familiar, simple, open-source solution of Lucene. Lucene language analyzers are faster, but the Microsoft analyzers have advanced capabilities, such as lemmatization, word decompounding (in languages like German, Danish, Dutch, Swedish, Norwegian, Estonian, Finish, Hungarian, Slovak) and entity recognition (URLs, emails, dates, numbers). If possible, you should run comparisons of both the Microsoft and Lucene analyzers to decide which one is a better fit.

Indexing with Microsoft analyzers is on average two to three times slower than their Lucene equivalents, depending on the language. Search performance should not be significantly affected for average size queries.

English analyzers

The default analyzer is Standard Lucene, which works well for English, but perhaps not as well as Lucene's English analyzer or Microsoft's English analyzer.

  • Lucene's English analyzer extends the standard analyzer. It removes possessives (trailing 's) from words, applies stemming as per Porter Stemming algorithm, and removes English stop words.

  • Microsoft's English analyzer performs lemmatization instead of stemming. This means it can handle inflected and irregular word forms much better what results in more relevant search results


    The Search Analyzer Demo provides side-by-side comparison of results produced by the standard Lucene analyzer, Lucene's English language analyzer, and Microsoft's English natural language processor. For each search input you provide, results from each analyzer are displayed in adjacent panes.

Analyzer configuration

For each field in the index definition, you can set the analyzer property to an analyzer name that specifies which language and vendor. The same analyzer will be applied when indexing and searching for that field. For example, you can have separate fields for English, French, and Spanish hotel descriptions that exist side-by-side in the same index.

Use the searchFields query parameter to specify which language-specific field to search against in your queries. You can review query examples that include the analyzer property in Search Documents.

For more information about index properties, see Create Index (Azure Search Service REST API). For more information about analysis in Azure Search, see Analyzers in Azure Search

Analyzer List

Below is the list of supported languages together with Lucene and Microsoft analyzer names.

Language Microsoft Analyzer Name Lucene Analyzer Name
Arabic ar.lucene
Armenian hy.lucene
Basque eu.lucene
Bulgarian bg.lucene
Catalan ca.lucene
Chinese Simplified zh-Hans.lucene
Chinese Traditional zh-Hant.lucene
Czech cs.lucene
Danish da.lucene
Dutch nl.lucene
English en.lucene
Finnish fi.lucene
French fr.lucene
Galician gl.lucene
German de.lucene
Greek el.lucene
Hindi hi.lucene
Hungarian hu.lucene
Indonesian (Bahasa) id.lucene
Irish ga.lucene
Italian it.lucene
Japanese ja.lucene
Korean ko.lucene
Latvian lv.lucene
Malay (Latin)
Norwegian no.lucene
Persian fa.lucene
Polish pl.lucene
Portuguese (Brazil) pt-Br.lucene
Portuguese (Portugal) pt-Pt.lucene
Romanian ro.lucene
Russian ru.lucene
Serbian (Cyrillic)
Serbian (Latin)
Spanish es.lucene
Swedish sv.lucene
Thai th.lucene
Turkish tr.lucene

All analyzers with names annotated with Lucene are powered by Apache Lucene's language analyzers.

See also

Create Index (Azure Search Service REST API)
AnalyzerName Class
Video: module 7 of Azure Search MVA presentation.