125 lines
2.3 KiB
Plaintext
125 lines
2.3 KiB
Plaintext
[[analysis-letter-tokenizer]]
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=== Letter tokenizer
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++++
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<titleabbrev>Letter</titleabbrev>
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++++
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The `letter` tokenizer breaks text into terms whenever it encounters a
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character which is not a letter. It does a reasonable job for most European
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languages, but does a terrible job for some Asian languages, where words are
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not separated by spaces.
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[discrete]
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=== Example output
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[source,console]
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---------------------------
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POST _analyze
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{
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"tokenizer": "letter",
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"text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
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}
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---------------------------
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/////////////////////
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[source,console-result]
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----------------------------
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{
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"tokens": [
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{
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"token": "The",
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"start_offset": 0,
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"end_offset": 3,
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"type": "word",
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"position": 0
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},
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{
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"token": "QUICK",
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"start_offset": 6,
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"end_offset": 11,
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"type": "word",
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"position": 1
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},
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{
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"token": "Brown",
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"start_offset": 12,
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"end_offset": 17,
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"type": "word",
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"position": 2
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},
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{
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"token": "Foxes",
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"start_offset": 18,
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"end_offset": 23,
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"type": "word",
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"position": 3
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},
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{
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"token": "jumped",
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"start_offset": 24,
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"end_offset": 30,
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"type": "word",
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"position": 4
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},
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{
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"token": "over",
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"start_offset": 31,
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"end_offset": 35,
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"type": "word",
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"position": 5
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},
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{
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"token": "the",
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"start_offset": 36,
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"end_offset": 39,
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"type": "word",
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"position": 6
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},
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{
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"token": "lazy",
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"start_offset": 40,
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"end_offset": 44,
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"type": "word",
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"position": 7
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},
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{
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"token": "dog",
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"start_offset": 45,
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"end_offset": 48,
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"type": "word",
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"position": 8
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},
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{
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"token": "s",
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"start_offset": 49,
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"end_offset": 50,
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"type": "word",
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"position": 9
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},
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{
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"token": "bone",
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"start_offset": 51,
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"end_offset": 55,
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"type": "word",
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"position": 10
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}
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]
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}
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----------------------------
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/////////////////////
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The above sentence would produce the following terms:
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[source,text]
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---------------------------
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[ The, QUICK, Brown, Foxes, jumped, over, the, lazy, dog, s, bone ]
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---------------------------
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[discrete]
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=== Configuration
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The `letter` tokenizer is not configurable.
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