Skip to content

Latest commit

 

History

History
192 lines (154 loc) · 3.98 KB

tokenizers.md

File metadata and controls

192 lines (154 loc) · 3.98 KB

Tokenizers

A tokenizer receives a stream of characters, breaks it up into individual tokens (usually individual words), and outputs a stream of tokens.

The format of the char filter definition is as follows:

{
    "name": <TOKENIZER_NAME>,
    "options": <TOKENIZER_OPTIONS>
}
  • <TOKENIZER_NAME>:
  • <TOKENIZER_OPTIONS>:

The following char filters are available:

  • Character
  • Exception
  • Kagome
  • Letter
  • Regular Expression
  • Single Token
  • Unicode
  • Web
  • Whitespace

Character

Outputs tokens with the specified rune. The following parameters can be set for rune.

  • graphic: Such characters include letters, marks, numbers, punctuation, symbols, and spaces.
  • print: Such characters include letters, marks, numbers, punctuation, symbols, and the ASCII space character.
  • control: Control characters.
  • letter: Letter characters.
  • mark: Mark characters.
  • number: Number characters.
  • punct: Unicode punctuation characters.
  • space: space character as defined by Unicode's White Space property; in the Latin-1 space this is '\t', '\n', '\v', '\f', '\r', ' ', U+0085 (NEL), U+00A0 (NBSP).
  • symbol: Symbolic characters

Example:

{
    "name": "unicode_normalize",
    "options": {
        "rune": "letter"
    }    
}

Exception

Split strings that match multiple regular expression patterns into tokens with UnicodeTokenizer.

Example:

{
    "name": "exception",
    "options": {
        "patterns": [
            "[hH][tT][tT][pP][sS]?://(\S)*",
            "[fF][iI][lL][eE]://(\S)*",
            "[fF][tT][pP]://(\S)*",
            "\S+@\S+"
        ]
    }    
}

Kagome

Use Kagome, a morphological analyzer for Japanese, to split Japanese text into tokens.

  • dictionary: You can set IPADIC or UniDIC.
  • stop_tags: You can specify the Japanese part of speech to be removed. The specified part of speech will not be output as a token.
  • base_form: Converts the token of the specified Japanese part of speech to its base form. Example, convert 美しく to 美しい.

Example:

{
    "name": "kagome",
    "options": {
        "dictionary": "IPADIC",
        "stop_tags": [
            "接続詞",
            "助詞",
            "助詞-格助詞",
            "助詞-格助詞-一般",
            "助詞-格助詞-引用",
            "助詞-格助詞-連語",
            "助詞-接続助詞",
            "助詞-係助詞",
            "助詞-副助詞",
            "助詞-間投助詞",
            "助詞-並立助詞",
            "助詞-終助詞",
            "助詞-副助詞／並立助詞／終助詞",
            "助詞-連体化",
            "助詞-副詞化",
            "助詞-特殊",
            "助動詞",
            "記号",
            "記号-一般",
            "記号-読点",
            "記号-句点",
            "記号-空白",
            "記号-括弧開",
            "記号-括弧閉",
            "その他-間投",
            "フィラー",
            "非言語音"
        ],
        "base_forms": [
            "動詞",
            "形容詞",
            "形容動詞"
        ]
    }    
}

Letter

This is the same as specifying letter for rune option in the Character tokenizer.

Example:

{
    "name": "letter"
}

Regular Expression

Outputs strings that matches the specified regular expression as a token.

Example:

{
    "name": "regexp",
    "pattern": "[0-9a-zA-Z_]*"
}

Single Token

Output text as a single token.

Example:

{
    "name": "single_token",
}

Unicode

Output tokens based on Unicode character categories.

Example:

{
    "name": "unicode",
}

Web

Extracts E-mail, URL, Twitter handle, and Twitter hashtag from web content based on Exception tokenizer and outputs the token.

Example:

{
    "name": "web",
}

Whitespace

Outputs tokens by splitting the text in whitespace.

Example:

{
    "name": "whitespace",
}