There seems to be no way to do this. But in order to get started, I used an English stemmer that works well for English words.
I created my own analyzer with the following settings:
"analysis": {
"filter": {
"english_stemmer": {
"type": "stemmer",
"language": "english"
},
"english_possessive_stemmer": {
"type": "stemmer",
"language": "possessive_english"
}
},
"analyzer": {
"english": {
"tokenizer": "standard",
"char_filter": [
"html_strip"
],
"filter": [
"asciifolding",
"english_possessive_stemmer",
"lowercase",
"stop",
"english_stemmer"
]
}
}
}
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