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Brazilian analyzer

The built-in brazilian analyzer can be applied to a text field using the following command:

PUT /brazilian-index
{
  "mappings": {
    "properties": {
      "content": {
        "type": "text",
        "analyzer": "brazilian"
      }
    }
  }
}

Stem exclusion

You can use stem_exclusion with this language analyzer using the following command:

PUT index_with_stem_exclusion_brazilian_analyzer
{
  "settings": {
    "analysis": {
      "analyzer": {
        "stem_exclusion_brazilian_analyzer": {
          "type": "brazilian",
          "stem_exclusion": ["autoridade", "aprovação"]
        }
      }
    }
  }
}

Brazilian analyzer internals

The brazilian analyzer is built using the following components:

  • Tokenizer: standard

  • Token filters:

    • lowercase
    • stop (Brazilian)
    • keyword
    • stemmer (Brazilian)

Custom Brazilian analyzer

You can create a custom Brazilian analyzer using the following command:

PUT /brazilian-index
{
  "settings": {
    "analysis": {
      "filter": {
        "brazilian_stop": {
          "type": "stop",
          "stopwords": "_brazilian_"
        },
        "brazilian_stemmer": {
          "type": "stemmer",
          "language": "brazilian"
        },
        "brazilian_keywords": {
          "type":       "keyword_marker",
          "keywords":   [] 
        }
      },
      "analyzer": {
        "brazilian_analyzer": {
          "type": "custom",
          "tokenizer": "standard",
          "filter": [
            "lowercase",
            "brazilian_stop",
            "brazilian_keywords",
            "brazilian_stemmer"
          ]
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "content": {
        "type": "text",
        "analyzer": "brazilian_analyzer"
      }
    }
  }
}

Generated tokens

Use the following request to examine the tokens generated using the analyzer:

POST /brazilian-index/_analyze
{
  "field": "content",
  "text": "Estudantes estudam em universidades brasileiras. Seus números são 123456."
}

The response contains the generated tokens:

{
  "tokens": [
    {"token": "estudant","start_offset": 0,"end_offset": 10,"type": "<ALPHANUM>","position": 0},
    {"token": "estud","start_offset": 11,"end_offset": 18,"type": "<ALPHANUM>","position": 1},
    {"token": "univers","start_offset": 22,"end_offset": 35,"type": "<ALPHANUM>","position": 3},
    {"token": "brasileir","start_offset": 36,"end_offset": 47,"type": "<ALPHANUM>","position": 4},
    {"token": "numer","start_offset": 54,"end_offset": 61,"type": "<ALPHANUM>","position": 6},
    {"token": "sao","start_offset": 62,"end_offset": 65,"type": "<ALPHANUM>","position": 7},
    {"token": "123456","start_offset": 66,"end_offset": 72,"type": "<NUM>","position": 8}
  ]
}
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