IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Letter tokenizer
editLetter tokenizer
editThe letter
tokenizer breaks text into terms whenever it encounters a
character which is not a letter. It does a reasonable job for most European
languages, but does a terrible job for some Asian languages, where words are
not separated by spaces.
Example output
editresp = client.indices.analyze( tokenizer="letter", text="The 2 QUICK Brown-Foxes jumped over the lazy dog's bone.", ) print(resp)
response = client.indices.analyze( body: { tokenizer: 'letter', text: "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone." } ) puts response
const response = await client.indices.analyze({ tokenizer: "letter", text: "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone.", }); console.log(response);
POST _analyze { "tokenizer": "letter", "text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone." }
The above sentence would produce the following terms:
[ The, QUICK, Brown, Foxes, jumped, over, the, lazy, dog, s, bone ]
Configuration
editThe letter
tokenizer is not configurable.