portuguese.md

layout	title	parent	grand_parent	nav_order
default	Portuguese	Language analyzers	Analyzers	260

Portuguese analyzer

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

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

{% include copy-curl.html %}

Stem exclusion

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

PUT index_with_stem_exclusion_portuguese_analyzer
{
  "settings": {
    "analysis": {
      "analyzer": {
        "stem_exclusion_portuguese_analyzer": {
          "type": "portuguese",
          "stem_exclusion": ["autoridade", "aprovação"]
        }
      }
    }
  }
}

{% include copy-curl.html %}

Portuguese analyzer internals

The portuguese analyzer is built using the following components:

• Tokenizer: standard

• Token filters:

  • lowercase
  • stop (Portuguese)
  • keyword
  • stemmer (Portuguese)

Custom Portuguese analyzer

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

PUT /portuguese-index
{
  "settings": {
    "analysis": {
      "filter": {
        "portuguese_stop": {
          "type": "stop",
          "stopwords": "_portuguese_"
        },
        "portuguese_stemmer": {
          "type": "stemmer",
          "language": "light_portuguese"
        },
        "portuguese_keywords": {
          "type": "keyword_marker",
          "keywords": []
        }
      },
      "analyzer": {
        "portuguese_analyzer": {
          "type": "custom",
          "tokenizer": "standard",
          "filter": [
            "lowercase",
            "portuguese_stop",
            "portuguese_keywords",
            "portuguese_stemmer"
          ]
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "content": {
        "type": "text",
        "analyzer": "portuguese_analyzer"
      }
    }
  }
}

{% include copy-curl.html %}

Generated tokens

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

POST /portuguese-index/_analyze
{
  "field": "content",
  "text": "Os estudantes estudam nas universidades brasileiras. Seus números são 123456."
}

{% include copy-curl.html %}

The response contains the generated tokens:

{
  "tokens": [
    {
      "token": "estudant",
      "start_offset": 3,
      "end_offset": 13,
      "type": "<ALPHANUM>",
      "position": 1
    },
    {
      "token": "estudam",
      "start_offset": 14,
      "end_offset": 21,
      "type": "<ALPHANUM>",
      "position": 2
    },
    {
      "token": "universidad",
      "start_offset": 26,
      "end_offset": 39,
      "type": "<ALPHANUM>",
      "position": 4
    },
    {
      "token": "brasileir",
      "start_offset": 40,
      "end_offset": 51,
      "type": "<ALPHANUM>",
      "position": 5
    },
    {
      "token": "numer",
      "start_offset": 58,
      "end_offset": 65,
      "type": "<ALPHANUM>",
      "position": 7
    },
    {
      "token": "123456",
      "start_offset": 70,
      "end_offset": 76,
      "type": "<NUM>",
      "position": 9
    }
  ]
}