107 lines
2.2 KiB
Plaintext
107 lines
2.2 KiB
Plaintext
[[analysis-thai-tokenizer]]
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=== Thai Tokenizer
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The `thai` tokenizer segments Thai text into words, using the Thai
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segmentation algorithm included with Java. Text in other languages in general
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will be treated the same as the
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<<analysis-standard-tokenizer,`standard` tokenizer>>.
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WARNING: This tokenizer may not be supported by all JREs. It is known to work
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with Sun/Oracle and OpenJDK. If your application needs to be fully portable,
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consider using the {plugins}/analysis-icu-tokenizer.html[ICU Tokenizer] instead.
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[float]
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=== Example output
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[source,js]
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---------------------------
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POST _analyze
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{
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"tokenizer": "thai",
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"text": "การที่ได้ต้องแสดงว่างานดี"
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}
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---------------------------
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// CONSOLE
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/////////////////////
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[source,js]
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----------------------------
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{
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"tokens": [
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{
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"token": "การ",
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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": "ที่",
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"start_offset": 3,
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"end_offset": 6,
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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": "ได้",
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"start_offset": 6,
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"end_offset": 9,
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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": "ต้อง",
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"start_offset": 9,
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"end_offset": 13,
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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": "แสดง",
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"start_offset": 13,
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"end_offset": 17,
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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": "ว่า",
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"start_offset": 17,
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"end_offset": 20,
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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": "งาน",
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"start_offset": 20,
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"end_offset": 23,
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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": "ดี",
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"start_offset": 23,
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"end_offset": 25,
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"type": "word",
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"position": 7
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}
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]
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}
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----------------------------
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// TESTRESPONSE
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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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[ การ, ที่, ได้, ต้อง, แสดง, ว่า, งาน, ดี ]
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---------------------------
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[float]
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=== Configuration
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The `thai` tokenizer is not configurable.
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