How to create an index for multiple languages in Azure Cognitive Search

Indexes can include fields containing content from multiple languages, for example, creating individual fields for language-specific strings. For best results during indexing and querying, assign a language analyzer that provides the appropriate linguistic rules.

Azure Cognitive Search offers a large selection of language analyzers from both Lucene and Microsoft that can be assigned to individual fields using the Analyzer property. You can also specify a language analyzer in the portal, as described in this article.

Add analyzers to fields

A language analyzer is specified when a field is created. Adding an analyzer to an existing field definition requires overwriting (and reloading) the index, or creating a new field identical to the original, but with an analyzer assignment. You could then delete the unused field at your convenience.

  1. Sign in to the Azure portal and find your search service.
  2. Click Add index in the command bar at the top of the service dashboard to start a new index, or open an existing index to set an analyzer on new fields you're adding to an existing index.
  3. Start a field definition by providing a name.
  4. Choose the Edm.String data type. Only string fields are full-text searchable.
  5. Set the Searchable attribute to enable the Analyzer property. A field must be text-based in order to make use of a language analyzer.
  6. Choose one of the available analyzers.

Assign language analyzers during field definition

By default, all searchable fields use the Standard Lucene analyzer which is language-agnostic. To view the full list of supported analyzers, see Add language analyzers to an Azure Cognitive Search index.

In the portal, analyzers are intended to be used as-is. If you require customization or a specific configuration of filters and tokenizers, you should create a custom analyzer in code. The portal does not support selecting or configuring custom analyzers.

Query language-specific fields

Once the language analyzer is selected for a field, it will be used with each indexing and search request for that field. When a query is issued against multiple fields using different analyzers, the query will be processed independently by the assigned analyzers for each field.

If the language of the agent issuing a query is known, a search request can be scoped to a specific field using the searchFields query parameter. The following query will be issued only against the description in Polish:

https://[service name][index name]/docs?search=darmowy&searchFields=PolishContent&api-version=2020-06-30

You can query your index from the portal, using Search explorer to paste in a query similar to the one shown above.

Boost language-specific fields

Sometimes the language of the agent issuing a query is not known, in which case the query can be issued against all fields simultaneously. If needed, preference for results in a certain language can be defined using scoring profiles. In the example below, matches found in the description in English will be scored higher relative to matches in Polish and French:

    "scoringProfiles": [
        "name": "englishFirst",
        "text": {
          "weights": { "description_en": 2 }

https://[service name][index name]/docs?search=Microsoft&scoringProfile=englishFirst&api-version=2020-06-30

Next steps

If you're a .NET developer, note that you can configure language analyzers using the Azure Cognitive Search .NET SDK and the Analyzer property.