# groonga - An open-source fulltext search engine and column store.

- 日本語

# 7.8.5. `TokenBigramIgnoreBlankSplitSymbolAlpha`

## 7.8.5.1. Summary

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

> - Blank handling

> - Symbol and alphabet handling

## 7.8.5.2. Syntax

`TokenBigramIgnoreBlankSplitSymbolAlpha` hasn’t parameter:

    TokenBigramIgnoreBlankSplitSymbolAlpha

## 7.8.5.3. Usage

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

`TokenBigramIgnoreBlankSplitSymbolAlpha` tokenizes symbols and alphabets by bigram tokenize method.

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

Here is a result by TokenBigram :

Execution example:

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

Here is a result by `TokenBigramIgnoreBlankSplitSymbolAlpha`:

Execution example:

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