IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Character group tokenizer
edit
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Character group tokenizer
editThe char_group tokenizer breaks text into terms whenever it encounters a
character which is in a defined set. It is mostly useful for cases where a simple
custom tokenization is desired, and the overhead of use of the pattern tokenizer
is not acceptable.
Configuration
editThe char_group tokenizer accepts one parameter:
|
|
A list containing a list of characters to tokenize the string on. Whenever a character
from this list is encountered, a new token is started. This accepts either single
characters like e.g. |
|
|
The maximum token length. If a token is seen that exceeds this length then
it is split at |
Example output
editresp = client.indices.analyze(
tokenizer={
"type": "char_group",
"tokenize_on_chars": [
"whitespace",
"-",
"\n"
]
},
text="The QUICK brown-fox",
)
print(resp)
response = client.indices.analyze(
body: {
tokenizer: {
type: 'char_group',
tokenize_on_chars: [
'whitespace',
'-',
"\n"
]
},
text: 'The QUICK brown-fox'
}
)
puts response
const response = await client.indices.analyze({
tokenizer: {
type: "char_group",
tokenize_on_chars: ["whitespace", "-", "\n"],
},
text: "The QUICK brown-fox",
});
console.log(response);
POST _analyze
{
"tokenizer": {
"type": "char_group",
"tokenize_on_chars": [
"whitespace",
"-",
"\n"
]
},
"text": "The QUICK brown-fox"
}
returns
{
"tokens": [
{
"token": "The",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 0
},
{
"token": "QUICK",
"start_offset": 4,
"end_offset": 9,
"type": "word",
"position": 1
},
{
"token": "brown",
"start_offset": 10,
"end_offset": 15,
"type": "word",
"position": 2
},
{
"token": "fox",
"start_offset": 16,
"end_offset": 19,
"type": "word",
"position": 3
}
]
}