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| [[analysis-lang-analyzer]]=== Language AnalyzersA set of analyzers aimed at analyzing specific language text. Thefollowing types are supported:<<arabic-analyzer,`arabic`>>,<<armenian-analyzer,`armenian`>>,<<basque-analyzer,`basque`>>,<<bengali-analyzer,`bengali`>>,<<brazilian-analyzer,`brazilian`>>,<<bulgarian-analyzer,`bulgarian`>>,<<catalan-analyzer,`catalan`>>,<<cjk-analyzer,`cjk`>>,<<czech-analyzer,`czech`>>,<<danish-analyzer,`danish`>>,<<dutch-analyzer,`dutch`>>,<<english-analyzer,`english`>>,<<finnish-analyzer,`finnish`>>,<<french-analyzer,`french`>>,<<galician-analyzer,`galician`>>,<<german-analyzer,`german`>>,<<greek-analyzer,`greek`>>,<<hindi-analyzer,`hindi`>>,<<hungarian-analyzer,`hungarian`>>,<<indonesian-analyzer,`indonesian`>>,<<irish-analyzer,`irish`>>,<<italian-analyzer,`italian`>>,<<latvian-analyzer,`latvian`>>,<<lithuanian-analyzer,`lithuanian`>>,<<norwegian-analyzer,`norwegian`>>,<<persian-analyzer,`persian`>>,<<portuguese-analyzer,`portuguese`>>,<<romanian-analyzer,`romanian`>>,<<russian-analyzer,`russian`>>,<<sorani-analyzer,`sorani`>>,<<spanish-analyzer,`spanish`>>,<<swedish-analyzer,`swedish`>>,<<turkish-analyzer,`turkish`>>,<<thai-analyzer,`thai`>>.==== Configuring language analyzers===== StopwordsAll analyzers support setting custom `stopwords` either internally inthe config, or by using an external stopwords file by setting`stopwords_path`. Check <<analysis-stop-analyzer,Stop Analyzer>> formore details.===== Excluding words from stemmingThe `stem_exclusion` parameter allows you to specify an arrayof lowercase words that should not be stemmed.  Internally, thisfunctionality is implemented by adding the<<analysis-keyword-marker-tokenfilter,`keyword_marker` token filter>>with the `keywords` set to the value of the `stem_exclusion` parameter.The following analyzers support setting custom `stem_exclusion` list:`arabic`, `armenian`, `basque`, `bengali`, `bulgarian`, `catalan`, `czech`,`dutch`, `english`, `finnish`, `french`, `galician`,`german`, `hindi`, `hungarian`, `indonesian`, `irish`, `italian`, `latvian`,`lithuanian`, `norwegian`, `portuguese`, `romanian`, `russian`, `sorani`,`spanish`, `swedish`, `turkish`.==== Reimplementing language analyzersThe built-in language analyzers can be reimplemented as `custom` analyzers(as described below) in order to customize their behaviour.NOTE: If you do not intend to exclude words from being stemmed (theequivalent of the `stem_exclusion` parameter above), then you should removethe `keyword_marker` token filter from the custom analyzer configuration.[[arabic-analyzer]]===== `arabic` analyzerThe `arabic` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /arabic_example{  "settings": {    "analysis": {      "filter": {        "arabic_stop": {          "type":       "stop",          "stopwords":  "_arabic_" <1>        },        "arabic_keywords": {          "type":       "keyword_marker",          "keywords":   ["مثال"] <2>        },        "arabic_stemmer": {          "type":       "stemmer",          "language":   "arabic"        }      },      "analyzer": {        "rebuilt_arabic": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "decimal_digit",            "arabic_stop",            "arabic_normalization",            "arabic_keywords",            "arabic_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"arabic_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: arabic_example, first: arabic, second: rebuilt_arabic}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[armenian-analyzer]]===== `armenian` analyzerThe `armenian` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /armenian_example{  "settings": {    "analysis": {      "filter": {        "armenian_stop": {          "type":       "stop",          "stopwords":  "_armenian_" <1>        },        "armenian_keywords": {          "type":       "keyword_marker",          "keywords":   ["օրինակ"] <2>        },        "armenian_stemmer": {          "type":       "stemmer",          "language":   "armenian"        }      },      "analyzer": {        "rebuilt_armenian": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "armenian_stop",            "armenian_keywords",            "armenian_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"armenian_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: armenian_example, first: armenian, second: rebuilt_armenian}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[basque-analyzer]]===== `basque` analyzerThe `basque` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /basque_example{  "settings": {    "analysis": {      "filter": {        "basque_stop": {          "type":       "stop",          "stopwords":  "_basque_" <1>        },        "basque_keywords": {          "type":       "keyword_marker",          "keywords":   ["Adibidez"] <2>        },        "basque_stemmer": {          "type":       "stemmer",          "language":   "basque"        }      },      "analyzer": {        "rebuilt_basque": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "basque_stop",            "basque_keywords",            "basque_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"basque_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: basque_example, first: basque, second: rebuilt_basque}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[bengali-analyzer]]===== `bengali` analyzerThe `bengali` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /bengali_example{  "settings": {    "analysis": {      "filter": {        "bengali_stop": {          "type":       "stop",          "stopwords":  "_bengali_" <1>        },        "bengali_keywords": {          "type":       "keyword_marker",          "keywords":   ["উদাহরণ"] <2>        },        "bengali_stemmer": {          "type":       "stemmer",          "language":   "bengali"        }      },      "analyzer": {        "rebuilt_bengali": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "decimal_digit",            "bengali_keywords",            "indic_normalization",            "bengali_normalization",            "bengali_stop",            "bengali_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"bengali_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: bengali_example, first: bengali, second: rebuilt_bengali}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[brazilian-analyzer]]===== `brazilian` analyzerThe `brazilian` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /brazilian_example{  "settings": {    "analysis": {      "filter": {        "brazilian_stop": {          "type":       "stop",          "stopwords":  "_brazilian_" <1>        },        "brazilian_keywords": {          "type":       "keyword_marker",          "keywords":   ["exemplo"] <2>        },        "brazilian_stemmer": {          "type":       "stemmer",          "language":   "brazilian"        }      },      "analyzer": {        "rebuilt_brazilian": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "brazilian_stop",            "brazilian_keywords",            "brazilian_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"brazilian_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: brazilian_example, first: brazilian, second: rebuilt_brazilian}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[bulgarian-analyzer]]===== `bulgarian` analyzerThe `bulgarian` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /bulgarian_example{  "settings": {    "analysis": {      "filter": {        "bulgarian_stop": {          "type":       "stop",          "stopwords":  "_bulgarian_" <1>        },        "bulgarian_keywords": {          "type":       "keyword_marker",          "keywords":   ["пример"] <2>        },        "bulgarian_stemmer": {          "type":       "stemmer",          "language":   "bulgarian"        }      },      "analyzer": {        "rebuilt_bulgarian": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "bulgarian_stop",            "bulgarian_keywords",            "bulgarian_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"bulgarian_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: bulgarian_example, first: bulgarian, second: rebuilt_bulgarian}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[catalan-analyzer]]===== `catalan` analyzerThe `catalan` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /catalan_example{  "settings": {    "analysis": {      "filter": {        "catalan_elision": {          "type":       "elision",          "articles":   [ "d", "l", "m", "n", "s", "t"],          "articles_case": true        },        "catalan_stop": {          "type":       "stop",          "stopwords":  "_catalan_" <1>        },        "catalan_keywords": {          "type":       "keyword_marker",          "keywords":   ["exemple"] <2>        },        "catalan_stemmer": {          "type":       "stemmer",          "language":   "catalan"        }      },      "analyzer": {        "rebuilt_catalan": {          "tokenizer":  "standard",          "filter": [            "catalan_elision",            "lowercase",            "catalan_stop",            "catalan_keywords",            "catalan_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"catalan_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: catalan_example, first: catalan, second: rebuilt_catalan}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[cjk-analyzer]]===== `cjk` analyzerNOTE: You may find that `icu_analyzer` in the ICU analysis plugin works betterfor CJK text than the `cjk` analyzer.  Experiment with your text and queries.The `cjk` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /cjk_example{  "settings": {    "analysis": {      "filter": {        "english_stop": {          "type":       "stop",          "stopwords":  [ <1>            "a", "and", "are", "as", "at", "be", "but", "by", "for",            "if", "in", "into", "is", "it", "no", "not", "of", "on",            "or", "s", "such", "t", "that", "the", "their", "then",            "there", "these", "they", "this", "to", "was", "will",            "with", "www"          ]        }      },      "analyzer": {        "rebuilt_cjk": {          "tokenizer":  "standard",          "filter": [            "cjk_width",            "lowercase",            "cjk_bigram",            "english_stop"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"cjk_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: cjk_example, first: cjk, second: rebuilt_cjk}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters. The default stop words are    *almost* the same as the `_english_` set, but not exactly    the same.[[czech-analyzer]]===== `czech` analyzerThe `czech` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /czech_example{  "settings": {    "analysis": {      "filter": {        "czech_stop": {          "type":       "stop",          "stopwords":  "_czech_" <1>        },        "czech_keywords": {          "type":       "keyword_marker",          "keywords":   ["příklad"] <2>        },        "czech_stemmer": {          "type":       "stemmer",          "language":   "czech"        }      },      "analyzer": {        "rebuilt_czech": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "czech_stop",            "czech_keywords",            "czech_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"czech_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: czech_example, first: czech, second: rebuilt_czech}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[danish-analyzer]]===== `danish` analyzerThe `danish` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /danish_example{  "settings": {    "analysis": {      "filter": {        "danish_stop": {          "type":       "stop",          "stopwords":  "_danish_" <1>        },        "danish_keywords": {          "type":       "keyword_marker",          "keywords":   ["eksempel"] <2>        },        "danish_stemmer": {          "type":       "stemmer",          "language":   "danish"        }      },      "analyzer": {        "rebuilt_danish": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "danish_stop",            "danish_keywords",            "danish_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"danish_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: danish_example, first: danish, second: rebuilt_danish}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[dutch-analyzer]]===== `dutch` analyzerThe `dutch` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /dutch_example{  "settings": {    "analysis": {      "filter": {        "dutch_stop": {          "type":       "stop",          "stopwords":  "_dutch_" <1>        },        "dutch_keywords": {          "type":       "keyword_marker",          "keywords":   ["voorbeeld"] <2>        },        "dutch_stemmer": {          "type":       "stemmer",          "language":   "dutch"        },        "dutch_override": {          "type":       "stemmer_override",          "rules": [            "fiets=>fiets",            "bromfiets=>bromfiets",            "ei=>eier",            "kind=>kinder"          ]        }      },      "analyzer": {        "rebuilt_dutch": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "dutch_stop",            "dutch_keywords",            "dutch_override",            "dutch_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"dutch_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: dutch_example, first: dutch, second: rebuilt_dutch}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[english-analyzer]]===== `english` analyzerThe `english` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /english_example{  "settings": {    "analysis": {      "filter": {        "english_stop": {          "type":       "stop",          "stopwords":  "_english_" <1>        },        "english_keywords": {          "type":       "keyword_marker",          "keywords":   ["example"] <2>        },        "english_stemmer": {          "type":       "stemmer",          "language":   "english"        },        "english_possessive_stemmer": {          "type":       "stemmer",          "language":   "possessive_english"        }      },      "analyzer": {        "rebuilt_english": {          "tokenizer":  "standard",          "filter": [            "english_possessive_stemmer",            "lowercase",            "english_stop",            "english_keywords",            "english_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"english_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: english_example, first: english, second: rebuilt_english}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[finnish-analyzer]]===== `finnish` analyzerThe `finnish` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /finnish_example{  "settings": {    "analysis": {      "filter": {        "finnish_stop": {          "type":       "stop",          "stopwords":  "_finnish_" <1>        },        "finnish_keywords": {          "type":       "keyword_marker",          "keywords":   ["esimerkki"] <2>        },        "finnish_stemmer": {          "type":       "stemmer",          "language":   "finnish"        }      },      "analyzer": {        "rebuilt_finnish": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "finnish_stop",            "finnish_keywords",            "finnish_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"finnish_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: finnish_example, first: finnish, second: rebuilt_finnish}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[french-analyzer]]===== `french` analyzerThe `french` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /french_example{  "settings": {    "analysis": {      "filter": {        "french_elision": {          "type":         "elision",          "articles_case": true,          "articles": [              "l", "m", "t", "qu", "n", "s",              "j", "d", "c", "jusqu", "quoiqu",              "lorsqu", "puisqu"            ]        },        "french_stop": {          "type":       "stop",          "stopwords":  "_french_" <1>        },        "french_keywords": {          "type":       "keyword_marker",          "keywords":   ["Exemple"] <2>        },        "french_stemmer": {          "type":       "stemmer",          "language":   "light_french"        }      },      "analyzer": {        "rebuilt_french": {          "tokenizer":  "standard",          "filter": [            "french_elision",            "lowercase",            "french_stop",            "french_keywords",            "french_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"french_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: french_example, first: french, second: rebuilt_french}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[galician-analyzer]]===== `galician` analyzerThe `galician` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /galician_example{  "settings": {    "analysis": {      "filter": {        "galician_stop": {          "type":       "stop",          "stopwords":  "_galician_" <1>        },        "galician_keywords": {          "type":       "keyword_marker",          "keywords":   ["exemplo"] <2>        },        "galician_stemmer": {          "type":       "stemmer",          "language":   "galician"        }      },      "analyzer": {        "rebuilt_galician": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "galician_stop",            "galician_keywords",            "galician_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"galician_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: galician_example, first: galician, second: rebuilt_galician}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[german-analyzer]]===== `german` analyzerThe `german` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /german_example{  "settings": {    "analysis": {      "filter": {        "german_stop": {          "type":       "stop",          "stopwords":  "_german_" <1>        },        "german_keywords": {          "type":       "keyword_marker",          "keywords":   ["Beispiel"] <2>        },        "german_stemmer": {          "type":       "stemmer",          "language":   "light_german"        }      },      "analyzer": {        "rebuilt_german": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "german_stop",            "german_keywords",            "german_normalization",            "german_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"german_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: german_example, first: german, second: rebuilt_german}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[greek-analyzer]]===== `greek` analyzerThe `greek` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /greek_example{  "settings": {    "analysis": {      "filter": {        "greek_stop": {          "type":       "stop",          "stopwords":  "_greek_" <1>        },        "greek_lowercase": {          "type":       "lowercase",          "language":   "greek"        },        "greek_keywords": {          "type":       "keyword_marker",          "keywords":   ["παράδειγμα"] <2>        },        "greek_stemmer": {          "type":       "stemmer",          "language":   "greek"        }      },      "analyzer": {        "rebuilt_greek": {          "tokenizer":  "standard",          "filter": [            "greek_lowercase",            "greek_stop",            "greek_keywords",            "greek_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"greek_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: greek_example, first: greek, second: rebuilt_greek}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[hindi-analyzer]]===== `hindi` analyzerThe `hindi` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /hindi_example{  "settings": {    "analysis": {      "filter": {        "hindi_stop": {          "type":       "stop",          "stopwords":  "_hindi_" <1>        },        "hindi_keywords": {          "type":       "keyword_marker",          "keywords":   ["उदाहरण"] <2>        },        "hindi_stemmer": {          "type":       "stemmer",          "language":   "hindi"        }      },      "analyzer": {        "rebuilt_hindi": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "decimal_digit",            "hindi_keywords",            "indic_normalization",            "hindi_normalization",            "hindi_stop",            "hindi_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"hindi_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: hindi_example, first: hindi, second: rebuilt_hindi}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[hungarian-analyzer]]===== `hungarian` analyzerThe `hungarian` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /hungarian_example{  "settings": {    "analysis": {      "filter": {        "hungarian_stop": {          "type":       "stop",          "stopwords":  "_hungarian_" <1>        },        "hungarian_keywords": {          "type":       "keyword_marker",          "keywords":   ["példa"] <2>        },        "hungarian_stemmer": {          "type":       "stemmer",          "language":   "hungarian"        }      },      "analyzer": {        "rebuilt_hungarian": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "hungarian_stop",            "hungarian_keywords",            "hungarian_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"hungarian_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: hungarian_example, first: hungarian, second: rebuilt_hungarian}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[indonesian-analyzer]]===== `indonesian` analyzerThe `indonesian` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /indonesian_example{  "settings": {    "analysis": {      "filter": {        "indonesian_stop": {          "type":       "stop",          "stopwords":  "_indonesian_" <1>        },        "indonesian_keywords": {          "type":       "keyword_marker",          "keywords":   ["contoh"] <2>        },        "indonesian_stemmer": {          "type":       "stemmer",          "language":   "indonesian"        }      },      "analyzer": {        "rebuilt_indonesian": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "indonesian_stop",            "indonesian_keywords",            "indonesian_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"indonesian_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: indonesian_example, first: indonesian, second: rebuilt_indonesian}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[irish-analyzer]]===== `irish` analyzerThe `irish` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /irish_example{  "settings": {    "analysis": {      "filter": {        "irish_hyphenation": {          "type":       "stop",          "stopwords":  [ "h", "n", "t" ],          "ignore_case": true        },        "irish_elision": {          "type":       "elision",          "articles":   [ "d", "m", "b" ],          "articles_case": true        },        "irish_stop": {          "type":       "stop",          "stopwords":  "_irish_" <1>        },        "irish_lowercase": {          "type":       "lowercase",          "language":   "irish"        },        "irish_keywords": {          "type":       "keyword_marker",          "keywords":   ["sampla"] <2>        },        "irish_stemmer": {          "type":       "stemmer",          "language":   "irish"        }      },      "analyzer": {        "rebuilt_irish": {          "tokenizer":  "standard",          "filter": [            "irish_hyphenation",            "irish_elision",            "irish_lowercase",            "irish_stop",            "irish_keywords",            "irish_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"irish_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: irish_example, first: irish, second: rebuilt_irish}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[italian-analyzer]]===== `italian` analyzerThe `italian` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /italian_example{  "settings": {    "analysis": {      "filter": {        "italian_elision": {          "type": "elision",          "articles": [                "c", "l", "all", "dall", "dell",                "nell", "sull", "coll", "pell",                "gl", "agl", "dagl", "degl", "negl",                "sugl", "un", "m", "t", "s", "v", "d"          ],          "articles_case": true        },        "italian_stop": {          "type":       "stop",          "stopwords":  "_italian_" <1>        },        "italian_keywords": {          "type":       "keyword_marker",          "keywords":   ["esempio"] <2>        },        "italian_stemmer": {          "type":       "stemmer",          "language":   "light_italian"        }      },      "analyzer": {        "rebuilt_italian": {          "tokenizer":  "standard",          "filter": [            "italian_elision",            "lowercase",            "italian_stop",            "italian_keywords",            "italian_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"italian_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: italian_example, first: italian, second: rebuilt_italian}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[latvian-analyzer]]===== `latvian` analyzerThe `latvian` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /latvian_example{  "settings": {    "analysis": {      "filter": {        "latvian_stop": {          "type":       "stop",          "stopwords":  "_latvian_" <1>        },        "latvian_keywords": {          "type":       "keyword_marker",          "keywords":   ["piemērs"] <2>        },        "latvian_stemmer": {          "type":       "stemmer",          "language":   "latvian"        }      },      "analyzer": {        "rebuilt_latvian": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "latvian_stop",            "latvian_keywords",            "latvian_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"latvian_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: latvian_example, first: latvian, second: rebuilt_latvian}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[lithuanian-analyzer]]===== `lithuanian` analyzerThe `lithuanian` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /lithuanian_example{  "settings": {    "analysis": {      "filter": {        "lithuanian_stop": {          "type":       "stop",          "stopwords":  "_lithuanian_" <1>        },        "lithuanian_keywords": {          "type":       "keyword_marker",          "keywords":   ["pavyzdys"] <2>        },        "lithuanian_stemmer": {          "type":       "stemmer",          "language":   "lithuanian"        }      },      "analyzer": {        "rebuilt_lithuanian": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "lithuanian_stop",            "lithuanian_keywords",            "lithuanian_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"lithuanian_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: lithuanian_example, first: lithuanian, second: rebuilt_lithuanian}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[norwegian-analyzer]]===== `norwegian` analyzerThe `norwegian` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /norwegian_example{  "settings": {    "analysis": {      "filter": {        "norwegian_stop": {          "type":       "stop",          "stopwords":  "_norwegian_" <1>        },        "norwegian_keywords": {          "type":       "keyword_marker",          "keywords":   ["eksempel"] <2>        },        "norwegian_stemmer": {          "type":       "stemmer",          "language":   "norwegian"        }      },      "analyzer": {        "rebuilt_norwegian": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "norwegian_stop",            "norwegian_keywords",            "norwegian_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"norwegian_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: norwegian_example, first: norwegian, second: rebuilt_norwegian}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[persian-analyzer]]===== `persian` analyzerThe `persian` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /persian_example{  "settings": {    "analysis": {      "char_filter": {        "zero_width_spaces": {            "type":       "mapping",            "mappings": [ "\\u200C=>\\u0020"] <1>        }      },      "filter": {        "persian_stop": {          "type":       "stop",          "stopwords":  "_persian_" <2>        }      },      "analyzer": {        "rebuilt_persian": {          "tokenizer":     "standard",          "char_filter": [ "zero_width_spaces" ],          "filter": [            "lowercase",            "decimal_digit",            "arabic_normalization",            "persian_normalization",            "persian_stop"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: persian_example, first: persian, second: rebuilt_persian}\nendyaml\n/]<1> Replaces zero-width non-joiners with an ASCII space.<2> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.[[portuguese-analyzer]]===== `portuguese` analyzerThe `portuguese` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /portuguese_example{  "settings": {    "analysis": {      "filter": {        "portuguese_stop": {          "type":       "stop",          "stopwords":  "_portuguese_" <1>        },        "portuguese_keywords": {          "type":       "keyword_marker",          "keywords":   ["exemplo"] <2>        },        "portuguese_stemmer": {          "type":       "stemmer",          "language":   "light_portuguese"        }      },      "analyzer": {        "rebuilt_portuguese": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "portuguese_stop",            "portuguese_keywords",            "portuguese_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"portuguese_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: portuguese_example, first: portuguese, second: rebuilt_portuguese}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[romanian-analyzer]]===== `romanian` analyzerThe `romanian` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /romanian_example{  "settings": {    "analysis": {      "filter": {        "romanian_stop": {          "type":       "stop",          "stopwords":  "_romanian_" <1>        },        "romanian_keywords": {          "type":       "keyword_marker",          "keywords":   ["exemplu"] <2>        },        "romanian_stemmer": {          "type":       "stemmer",          "language":   "romanian"        }      },      "analyzer": {        "rebuilt_romanian": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "romanian_stop",            "romanian_keywords",            "romanian_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"romanian_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: romanian_example, first: romanian, second: rebuilt_romanian}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[russian-analyzer]]===== `russian` analyzerThe `russian` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /russian_example{  "settings": {    "analysis": {      "filter": {        "russian_stop": {          "type":       "stop",          "stopwords":  "_russian_" <1>        },        "russian_keywords": {          "type":       "keyword_marker",          "keywords":   ["пример"] <2>        },        "russian_stemmer": {          "type":       "stemmer",          "language":   "russian"        }      },      "analyzer": {        "rebuilt_russian": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "russian_stop",            "russian_keywords",            "russian_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"russian_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: russian_example, first: russian, second: rebuilt_russian}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[sorani-analyzer]]===== `sorani` analyzerThe `sorani` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /sorani_example{  "settings": {    "analysis": {      "filter": {        "sorani_stop": {          "type":       "stop",          "stopwords":  "_sorani_" <1>        },        "sorani_keywords": {          "type":       "keyword_marker",          "keywords":   ["mînak"] <2>        },        "sorani_stemmer": {          "type":       "stemmer",          "language":   "sorani"        }      },      "analyzer": {        "rebuilt_sorani": {          "tokenizer":  "standard",          "filter": [            "sorani_normalization",            "lowercase",            "decimal_digit",            "sorani_stop",            "sorani_keywords",            "sorani_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"sorani_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: sorani_example, first: sorani, second: rebuilt_sorani}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[spanish-analyzer]]===== `spanish` analyzerThe `spanish` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /spanish_example{  "settings": {    "analysis": {      "filter": {        "spanish_stop": {          "type":       "stop",          "stopwords":  "_spanish_" <1>        },        "spanish_keywords": {          "type":       "keyword_marker",          "keywords":   ["ejemplo"] <2>        },        "spanish_stemmer": {          "type":       "stemmer",          "language":   "light_spanish"        }      },      "analyzer": {        "rebuilt_spanish": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "spanish_stop",            "spanish_keywords",            "spanish_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"spanish_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: spanish_example, first: spanish, second: rebuilt_spanish}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[swedish-analyzer]]===== `swedish` analyzerThe `swedish` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /swedish_example{  "settings": {    "analysis": {      "filter": {        "swedish_stop": {          "type":       "stop",          "stopwords":  "_swedish_" <1>        },        "swedish_keywords": {          "type":       "keyword_marker",          "keywords":   ["exempel"] <2>        },        "swedish_stemmer": {          "type":       "stemmer",          "language":   "swedish"        }      },      "analyzer": {        "rebuilt_swedish": {          "tokenizer":  "standard",          "filter": [            "lowercase",            "swedish_stop",            "swedish_keywords",            "swedish_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"swedish_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: swedish_example, first: swedish, second: rebuilt_swedish}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[turkish-analyzer]]===== `turkish` analyzerThe `turkish` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /turkish_example{  "settings": {    "analysis": {      "filter": {        "turkish_stop": {          "type":       "stop",          "stopwords":  "_turkish_" <1>        },        "turkish_lowercase": {          "type":       "lowercase",          "language":   "turkish"        },        "turkish_keywords": {          "type":       "keyword_marker",          "keywords":   ["örnek"] <2>        },        "turkish_stemmer": {          "type":       "stemmer",          "language":   "turkish"        }      },      "analyzer": {        "rebuilt_turkish": {          "tokenizer":  "standard",          "filter": [            "apostrophe",            "turkish_lowercase",            "turkish_stop",            "turkish_keywords",            "turkish_stemmer"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"turkish_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: turkish_example, first: turkish, second: rebuilt_turkish}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.<2> This filter should be removed unless there are words which should    be excluded from stemming.[[thai-analyzer]]===== `thai` analyzerThe `thai` analyzer could be reimplemented as a `custom` analyzer as follows:[source,js]----------------------------------------------------PUT /thai_example{  "settings": {    "analysis": {      "filter": {        "thai_stop": {          "type":       "stop",          "stopwords":  "_thai_" <1>        }      },      "analyzer": {        "rebuilt_thai": {          "tokenizer":  "thai",          "filter": [            "lowercase",            "decimal_digit",            "thai_stop"          ]        }      }    }  }}----------------------------------------------------// CONSOLE// TEST[s/"thai_keywords",//]// TEST[s/\n$/\nstartyaml\n  - compare_analyzers: {index: thai_example, first: thai, second: rebuilt_thai}\nendyaml\n/]<1> The default stopwords can be overridden with the `stopwords`    or `stopwords_path` parameters.
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