Standard tokenizer

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

  1. POST _analyze
  2. {
  3.   "tokenizer": "standard",
  4.   "text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
  5. }

The above sentence would produce the following terms:

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

Configuration

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

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

  1. PUT my-index-000001
  2. {
  3.   "settings": {
  4.     "analysis": {
  5.       "analyzer": {
  6.         "my_analyzer": {
  7.           "tokenizer": "my_tokenizer"
  8.         }
  9.       },
  10.       "tokenizer": {
  11.         "my_tokenizer": {
  12.           "type": "standard",
  13.           "max_token_length": 5
  14.         }
  15.       }
  16.     }
  17.   }
  18. }
  20. POST my-index-000001/_analyze
  21. {
  22.   "analyzer": "my_analyzer",
  23.   "text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
  24. }

The above example produces the following terms:

  1. [ The, 2, QUICK, Brown, Foxes, jumpe, d, over, the, lazy, dog's, bone ]