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.
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 ]
The standard tokenizer accepts the following parameters:
|
|
The maximum token length. If a token is seen that exceeds this length then
it is split at |
In this example, we configure the standard tokenizer to have a
max_token_length of 5 (for demonstration purposes):
PUT my_index
{
"settings": {
"analysis": {
"analyzer": {
"my_analyzer": {
"tokenizer": "my_tokenizer"
}
},
"tokenizer": {
"my_tokenizer": {
"type": "standard",
"max_token_length": 5
}
}
}
}
}
POST my_index/_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 ]