Is it possible to get (meaningful) term suggestions from an ngram analyzed field?

[joargp]

Goal

Enable spelling corrections for tokenized fields

Settings:

 {
  "analyzer": {
    "analyzer_search": {
      "filter": [ "standard", "lowercase" ],
      "char_filter": [ "html_strip" ],
      "type": "custom",
      "tokenizer": "standard"
    },
    "analyzer": {
      "filter": [  "standard", "lowercase" ],
      "char_filter": [ "html_strip" ],
      "type": "custom",
      "tokenizer": "ngram_tokenizer"
    }
 },
 "tokenizer": {
   "ngram_tokenizer": {
    "token_chars": [ "letter", "digit" ],
     "min_gram": "3",
     "type": "nGram",
     "max_gram": "20"
   }
 }
}

Original mapping

{
  "mappings": {
    "searchitemdocument": {
      "properties": {
        "title": {
          "search_analyzer": "analyzer_search",
          "search_quote_analyzer": "analyzer",
          "analyzer": "analyzer",
          "type": "text"
        },
      }
    }
  }
}

Result

This gives suggestions from the ngrams, ie. suggesting service -> servic, which is not a word.
I have solved this by creating an additional field with a different analyzer, like this:

New mapping for suggestions

{
  "mappings": {
    "searchitemdocument": {
      "properties": {
        "title": {
          "search_analyzer": "analyzer_search",
          "search_quote_analyzer": "analyzer",
          "analyzer": "analyzer",
          "type": "text"
        },
        "title_suggest": {
          "analyzer": "no_suggest_analyzer",
          "type": "text"
        }
      }
    }
  }
}

I can now use the new field for term suggestion search.
This works, but I now insert all data twice.

Is there a better way?