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# Character Tokenization

You can tokenize characters into N-grams of a specified size. Set the `NGram` configuration parameter in your language configuration section to the number of characters to use in each N-gram group.

NOTE: You must not use `NGram` with the `SentenceBreaking` configuration parameter.

For example, if you set `NGram` to `2`, Content tokenizes the word Hello as:

    he el ll lo

To tokenize only multibyte strings, set `NGramMultiByteOnly` to `True`.

    [Japanese]
    NGram=2
    NGramMultiByteOnly=True

For this configuration, if you have a document that contains both English and Asian (multibyte) text, Content tokenizes the Asian text according to the `NGram` parameter. It does not tokenize the English text.

To tokenize only multiple-byte strings in Chinese, Japanese, and Korean characters (and ignore multiple-byte strings in other languages), set `NGramSentenceBrokenScriptOnly` to `True`.

    [Japanese]
    NGram=2
    NGramSentenceBrokenScriptOnly=True

For this configuration, if you have a document that contains multibyte text in both Japanese and Greek, Content tokenizes the Japanese text according to the `NGram` parameter. It does not tokenize the Greek multibyte text.

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Version 26.3 | Last updated July 2026

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Product: Knowledge Discovery View Component 26.3

Topic Title: Character Tokenization