If anyone is interested:
I resolved this issue by replacing the nGram filter with a nGram tokenizer:
{
"settings": {
"number_of_shards": 1,
"number_of_replicas": 0,
"analysis": {
"analyzer": {
"my_index_analyzer": {
"type": "custom",
"tokenizer": "my_ngram_tokenizer",
"filter": [
"lowercase"
]
},
"my_search_analyzer": {
"type": "custom",
"tokenizer": "whitespace",
"filter": [
"lowercase"
]
}
},
"tokenizer" : {
"my_ngram_tokenizer" : {
"type" : "nGram",
"min_gram" : "1",
"max_gram" : "50"
}
}
}
}
}
Now, the term "barfoobar" has a higher score than "blablablafoobarbarbar".
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