- Elasticsearch Guide: other versions:
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- Release Notes
- 6.1.4 Release Notes
- 6.1.3 Release Notes
- 6.1.2 Release Notes
- 6.1.1 Release Notes
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- 6.0.1 Release Notes
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- 6.0.0-beta2 Release Notes
- 6.0.0-beta1 Release Notes
- 6.0.0-alpha2 Release Notes
- 6.0.0-alpha1 Release Notes
- 6.0.0-alpha1 Release Notes (Changes previously released in 5.x)
- X-Pack Release Notes
WARNING: Version 6.1 of Elasticsearch has passed its EOL date.
This documentation is no longer being maintained and may be removed. If you are running this version, we strongly advise you to upgrade. For the latest information, see the current release documentation.
Word Delimiter Token Filter
editWord Delimiter Token Filter
editNamed word_delimiter
, it Splits words into subwords and performs
optional transformations on subword groups. Words are split into
subwords with the following rules:
- split on intra-word delimiters (by default, all non alpha-numeric characters).
- "Wi-Fi" → "Wi", "Fi"
- split on case transitions: "PowerShot" → "Power", "Shot"
- split on letter-number transitions: "SD500" → "SD", "500"
- leading and trailing intra-word delimiters on each subword are ignored: "//hello---there, dude" → "hello", "there", "dude"
- trailing "'s" are removed for each subword: "O’Neil’s" → "O", "Neil"
Parameters include:
-
generate_word_parts
-
If
true
causes parts of words to be generated: "PowerShot" ⇒ "Power" "Shot". Defaults totrue
. -
generate_number_parts
-
If
true
causes number subwords to be generated: "500-42" ⇒ "500" "42". Defaults totrue
. -
catenate_words
-
If
true
causes maximum runs of word parts to be catenated: "wi-fi" ⇒ "wifi". Defaults tofalse
. -
catenate_numbers
-
If
true
causes maximum runs of number parts to be catenated: "500-42" ⇒ "50042". Defaults tofalse
. -
catenate_all
-
If
true
causes all subword parts to be catenated: "wi-fi-4000" ⇒ "wifi4000". Defaults tofalse
. -
split_on_case_change
-
If
true
causes "PowerShot" to be two tokens; ("Power-Shot" remains two parts regards). Defaults totrue
. -
preserve_original
-
If
true
includes original words in subwords: "500-42" ⇒ "500-42" "500" "42". Defaults tofalse
. -
split_on_numerics
-
If
true
causes "j2se" to be three tokens; "j" "2" "se". Defaults totrue
. -
stem_english_possessive
-
If
true
causes trailing "'s" to be removed for each subword: "O’Neil’s" ⇒ "O", "Neil". Defaults totrue
.
Advance settings include:
-
protected_words
-
A list of protected words from being delimiter.
Either an array, or also can set
protected_words_path
which resolved to a file configured with protected words (one on each line). Automatically resolves toconfig/
based location if exists. -
type_table
-
A custom type mapping table, for example (when configured
using
type_table_path
):
# Map the $, %, '.', and ',' characters to DIGIT # This might be useful for financial data. $ => DIGIT % => DIGIT . => DIGIT \\u002C => DIGIT # in some cases you might not want to split on ZWJ # this also tests the case where we need a bigger byte[] # see http://en.wikipedia.org/wiki/Zero-width_joiner \\u200D => ALPHANUM
Using a tokenizer like the standard
tokenizer may interfere with
the catenate_*
and preserve_original
parameters, as the original
string may already have lost punctuation during tokenization. Instead,
you may want to use the whitespace
tokenizer.