> For the complete documentation index, see [llms.txt](https://xiaoxiami.gitbook.io/elasticsearch/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://xiaoxiami.gitbook.io/elasticsearch/ji-chu/33-analysisfen-679029/334-tokenizersff08-fen-ci-qi-ff09/keyword-tokenizerff08-guan-jian-ci-fen-ci-qi-ff09.md).

# Keyword Tokenizer（关键词分词器）

关键字记号赋予器是一个“等待”记号赋予器接受任何文本和输出给出相同的文本作为一个单独的项。

`keyword` analyze(关键字分析器)是一个“noop”分析器，它将整个输入字符串作为单个令牌返回。它可以结合Token filters(词语过滤器)输出正常化,如小写电子邮件地址。

## **输出示例**

```
POST _analyze
{
  "tokenizer": "keyword",
  "text": "New York"
}
```

上面的句子会产生以下结果:

```
[ New York ]
```

## 配置

`keyword`tokenizer 接受以下参数:

| `buffer_size` | 字符读入缓冲一词的数量在一个单一的通过。默认为256。这个词缓冲区将增加这个大小,直到所有的文本被消耗。建议不要更改此设置。 |
| ------------- | -------------------------------------------------------------- |


---

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