7.8.6. TokenBigramIgnoreBlankSplitSymbolAlphaDigit — Groonga v16.0.2 documentation

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# 7.8.6. `TokenBigramIgnoreBlankSplitSymbolAlphaDigit`

## 7.8.6.1. Summary

`TokenBigramIgnoreBlankSplitSymbolAlphaDigit` is similar to TokenBigram. The differences between them are the followings:

> - Blank handling

> - Symbol, alphabet and digit handling

## 7.8.6.2. Syntax

`TokenBigramIgnoreBlankSplitSymbolAlphaDigit` hasn’t parameter:

    TokenBigramIgnoreBlankSplitSymbolAlphaDigit

## 7.8.6.3. Usage

`TokenBigramIgnoreBlankSplitSymbolAlphaDigit` ignores white-spaces in continuous symbols and non-ASCII characters.

`TokenBigramIgnoreBlankSplitSymbolAlphaDigit` tokenizes symbols, alphabets and digits by bigram tokenize method. It means that all characters are tokenized by bigram tokenize method.

You can find difference of them by `Hello 日 本 語 ! ! ! 777` text because it has symbols and non-ASCII characters with white spaces, alphabets and digits.

Here is a result by TokenBigram :

Execution example:

    tokenize TokenBigram "Hello 日 本 語 ! ! ! 777" NormalizerAuto
    # [
    #   [
    #     0,
    #     1337566253.89858,
    #     0.000355720520019531
    #   ],
    #   [
    #     {
    #       "value": "hello",
    #       "position": 0,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "日",
    #       "position": 1,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "本",
    #       "position": 2,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "語",
    #       "position": 3,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "!",
    #       "position": 4,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "!",
    #       "position": 5,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "!",
    #       "position": 6,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "777",
    #       "position": 7,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     }
    #   ]
    # ]

Here is a result by `TokenBigramIgnoreBlankSplitSymbolAlphaDigit`:

Execution example:

    tokenize TokenBigramIgnoreBlankSplitSymbolAlphaDigit "Hello 日 本 語 ! ! ! 777" NormalizerAuto
    # [
    #   [
    #     0,
    #     1337566253.89858,
    #     0.000355720520019531
    #   ],
    #   [
    #     {
    #       "value": "he",
    #       "position": 0,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "el",
    #       "position": 1,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "ll",
    #       "position": 2,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "lo",
    #       "position": 3,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "o日",
    #       "position": 4,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "日本",
    #       "position": 5,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "本語",
    #       "position": 6,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "語!",
    #       "position": 7,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "!!",
    #       "position": 8,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "!!",
    #       "position": 9,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "!7",
    #       "position": 10,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "77",
    #       "position": 11,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "77",
    #       "position": 12,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     },
    #     {
    #       "value": "7",
    #       "position": 13,
    #       "force_prefix": false,
    #       "force_prefix_search": false
    #     }
    #   ]
    # ]