部分词分词器与基于词的分词器 Elasticsearch 是一种文本分析工具，用于将输入文本分解成离散的词语或标记。下面是一个使用部分词分词器和基于词的分词器的示例代码：

1. 部分词分词器（ngram tokenizer）示例：

PUT my_index
{
  "settings": {
    "analysis": {
      "analyzer": {
        "my_partial_word_analyzer": {
          "tokenizer": "my_ngram_tokenizer"
        }
      },
      "tokenizer": {
        "my_ngram_tokenizer": {
          "type": "ngram",
          "min_gram": 2,
          "max_gram": 5,
          "token_chars": [
            "letter",
            "digit"
          ]
        }
      }
    }
  }
}

GET my_index/_analyze
{
  "analyzer": "my_partial_word_analyzer",
  "text": "Elasticsearch"
}

上述代码将会使用 ngram 分词器将 "Elasticsearch" 分解成部分词，输出结果如下：

{
  "tokens": [
    {
      "token": "El",
      "start_offset": 0,
      "end_offset": 2,
      "type": "word",
      "position": 0
    },
    {
      "token": "las",
      "start_offset": 1,
      "end_offset": 4,
      "type": "word",
      "position": 1
    },
    {
      "token": "ast",
      "start_offset": 2,
      "end_offset": 5,
      "type": "word",
      "position": 2
    },
    {
      "token": "sti",
      "start_offset": 3,
      "end_offset": 6,
      "type": "word",
      "position": 3
    },
    {
      "token": "tic",
      "start_offset": 4,
      "end_offset": 7,
      "type": "word",
      "position": 4
    },
    {
      "token": "ticsearch",
      "start_offset": 5,
      "end_offset": 15,
      "type": "word",
      "position": 5
    }
  ]
}

2. 基于词的分词器（standard tokenizer）示例：

PUT my_index
{
  "settings": {
    "analysis": {
      "analyzer": {
        "my_word_based_analyzer": {
          "tokenizer": "my_standard_tokenizer"
        }
      },
      "tokenizer": {
        "my_standard_tokenizer": {
          "type": "standard"
        }
      }
    }
  }
}

GET my_index/_analyze
{
  "analyzer": "my_word_based_analyzer",
  "text": "Elasticsearch"
}

上述代码将会使用基于词的分词器将 "Elasticsearch" 分解成独立的词语，输出结果如下：

{
  "tokens": [
    {
      "token": "Elasticsearch",
      "start_offset": 0,
      "end_offset": 13,
      "type": "",
      "position": 0
    }
  ]
}

这是一个简单的示例，你可以根据自己的需求进行配置和扩展。