Bulgarian analyzer

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

  1. PUT /bulgarian-index
  2. {
  3.   "mappings": {
  4.     "properties": {
  5.       "content": {
  6.         "type": "text",
  7.         "analyzer": "bulgarian"
  8.       }
  9.     }
  10.   }
  11. }

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Stem exclusion

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

  1. PUT index_with_stem_exclusion_bulgarian_analyzer
  2. {
  3.   "settings": {
  4.     "analysis": {
  5.       "analyzer": {
  6.         "stem_exclusion_bulgarian_analyzer": {
  7.           "type": "bulgarian",
  8.           "stem_exclusion": ["авторитет", "одобрение"]
  9.         }
  10.       }
  11.     }
  12.   }
  13. }

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Bulgarian analyzer internals

The bulgarian analyzer is built using the following components:

  • Tokenizer: standard

  • Token filters:

    • lowercase
    • stop (Bulgarian)
    • keyword
    • stemmer (Bulgarian)

Custom Bulgarian analyzer

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

  1. PUT /bulgarian-index
  2. {
  3.   "settings": {
  4.     "analysis": {
  5.       "filter": {
  6.         "bulgarian_stop": {
  7.           "type": "stop",
  8.           "stopwords": "_bulgarian_"
  9.         },
  10.         "bulgarian_stemmer": {
  11.           "type": "stemmer",
  12.           "language": "bulgarian"
  13.         },
  14.         "bulgarian_keywords": {
  15.           "type":       "keyword_marker",
  16.           "keywords":   [] 
  17.         }
  18.       },
  19.       "analyzer": {
  20.         "bulgarian_analyzer": {
  21.           "type": "custom",
  22.           "tokenizer": "standard",
  23.           "filter": [
  24.             "lowercase",
  25.             "bulgarian_stop",
  26.             "bulgarian_keywords",
  27.             "bulgarian_stemmer"
  28.           ]
  29.         }
  30.       }
  31.     }
  32.   },
  33.   "mappings": {
  34.     "properties": {
  35.       "content": {
  36.         "type": "text",
  37.         "analyzer": "bulgarian_analyzer"
  38.       }
  39.     }
  40.   }
  41. }

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Generated tokens

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

  1. POST /bulgarian-index/_analyze
  2. {
  3.   "field": "content",
  4.   "text": "Студентите учат в българските университети. Техните номера са 123456."
  5. }

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The response contains the generated tokens:

  1. {
  2.   "tokens": [
  3.     {"token": "студент","start_offset": 0,"end_offset": 10,"type": "<ALPHANUM>","position": 0},
  4.     {"token": "учат","start_offset": 11,"end_offset": 15,"type": "<ALPHANUM>","position": 1},
  5.     {"token": "българск","start_offset": 18,"end_offset": 29,"type": "<ALPHANUM>","position": 3},
  6.     {"token": "университят","start_offset": 30,"end_offset": 42,"type": "<ALPHANUM>","position": 4},
  7.     {"token": "техн","start_offset": 44,"end_offset": 51,"type": "<ALPHANUM>","position": 5},
  8.     {"token": "номер","start_offset": 52,"end_offset": 58,"type": "<ALPHANUM>","position": 6},
  9.     {"token": "123456","start_offset": 62,"end_offset": 68,"type": "<NUM>","position": 8}
  10.   ]
  11. }