Normalize Elasticsearch score with subfield length

I have some documents in ElasticSearch, and each document has one or many appendices. When I do a search on the text of the appendices, I often got scores greater than 1. When I do searches with really common patterns, I realize that more the document has appendices, greater its score is. So, I aim to 'normalize' the scores, by dividing each document score by the number of appendices it has.

For example, for this query:

"query": {
  "match": {
    "document.appendices.text" = "What is love?"

I wish to do score = score / length(document.appendices) but I don't know how to express it.

It that possible, or all the appendices has to be indexed as document to achieve this?

Many thanks community!

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