I recently checked the language analyzer in elasticsearch docs and wonder why in this example: analysis-lang-analyzer the Persian analyzer comes after the Arabic analyzer?! Is that needed because of anything? I mean the Persian analyzer alone, is not enough for the Persian language?
Persian analyzer The Persian analyzer could be reimplemented as a custom analyzer as follows:
PUT /persian_example
{
"settings": {
"analysis": {
"char_filter": {
"zero_width_spaces": {
"type": "mapping",
"mappings": [ "\\u200C=>\\u0020"]
}
},
"filter": {
"persian_stop": {
"type": "stop",
"stopwords": "_persian_"
}
},
"analyzer": {
"rebuilt_persian": {
"tokenizer": "standard",
"char_filter": [ "zero_width_spaces" ],
"filter": [
"lowercase",
"decimal_digit",
"arabic_normalization",
"persian_normalization",
"persian_stop"
]
}
}
}
}
}