Chinese

The chinese analyzer is designed specifically to handle Chinese text, providing effective segmentation and tokenization.

Definition

The chinese analyzer consists of:

• Tokenizer: Uses the jieba tokenizer to segment Chinese text into tokens based on vocabulary and context. For more information, refer to Jieba.

• Filter: Uses the cnalphanumonly filter to remove tokens that contain any non-Chinese characters. For more information, refer to Cnalphanumonly.

The functionality of the chinese analyzer is equivalent to the following custom analyzer configuration:

Python

analyzer_params = {
    "tokenizer": "jieba",
    "filter": ["cnalphanumonly"]
}

Java

Map<String, Object> analyzerParams = new HashMap<>();
analyzerParams.put("tokenizer", "jieba");
analyzerParams.put("filter", Collections.singletonList("cnalphanumonly"));

NodeJS

const analyzer_params = {
    "tokenizer": "jieba",
    "filter": ["cnalphanumonly"]
};

Go

analyzerParams = map[string]any{"tokenizer": "jieba", "filter": []any{"cnalphanumonly"}}

cURL

# restful
analyzerParams='{
  "tokenizer": "jieba",
  "filter": [
    "cnalphanumonly"
  ]
}'

Configuration

To apply the chinese analyzer to a field, simply set type to chinese in analyzer_params.

Python

analyzer_params = {
    "type": "chinese",
}

Java

Map<String, Object> analyzerParams = new HashMap<>();
analyzerParams.put("type", "chinese");

NodeJS

const analyzer_params = {
    "type": "chinese",
}

Go

analyzerParams = map[string]any{"type": "chinese"}

cURL

# restful
analyzerParams='{
  "type": "chinese"
}'

📘Notes

The chinese analyzer does not accept any optional parameters.

Examples

Analyzer configuration

Python

analyzer_params = {
    "type": "chinese",
}

Java

Map<String, Object> analyzerParams = new HashMap<>();
analyzerParams.put("type", "chinese");

NodeJS

// javascript

Go

analyzerParams = map[string]any{"type": "chinese"}

cURL

# restful

Expected output

Chinese analyzer output: ['Milvus', '是', '一个', '高性', '性能', '高性能', '可', '扩展', '的', '向量', '数据', '据库', '数据库']