IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.
« Simple pattern split tokenizer Thai tokenizer »
Elastic Docs ›Elasticsearch Guide [7.15] ›Text analysis ›Tokenizer reference

Standard tokenizer

edit

Standard tokenizer

edit

The standard tokenizer provides grammar based tokenization (based on the Unicode Text Segmentation algorithm, as specified in Unicode Standard Annex #29) and works well for most languages.

Example output

edit
POST _analyze
{
  "tokenizer": "standard",
  "text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}

The above sentence would produce the following terms:

[ The, 2, QUICK, Brown, Foxes, jumped, over, the, lazy, dog's, bone ]

Configuration

edit

The standard tokenizer accepts the following parameters:

max_token_length

The maximum token length. If a token is seen that exceeds this length then it is split at max_token_length intervals. Defaults to 255.

Example configuration

edit

In this example, we configure the standard tokenizer to have a max_token_length of 5 (for demonstration purposes):

PUT my-index-000001
{
  "settings": {
    "analysis": {
      "analyzer": {
        "my_analyzer": {
          "tokenizer": "my_tokenizer"
        }
      },
      "tokenizer": {
        "my_tokenizer": {
          "type": "standard",
          "max_token_length": 5
        }
      }
    }
  }
}

POST my-index-000001/_analyze
{
  "analyzer": "my_analyzer",
  "text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}

The above example produces the following terms:

[ The, 2, QUICK, Brown, Foxes, jumpe, d, over, the, lazy, dog's, bone ]
« Simple pattern split tokenizer Thai tokenizer »