Getting most likely documents of the query using phonetic filter in solr

Question

I am using solr for spell checking/ query correction. I have added solr.PhoneticFilterFactory and solr.NGramFilterFactory in fieldType to perform spell checking. It is working fine but here the problem is that I am getting number of documents of the query. I need only most likely words/documents or in similar words, we can say that nearer words/documents to the query.

Snippet of schema.xml :

<fieldType name="textSpell" class="solr.TextField" positionIncrementGap="100">
       <analyzer type="index">         
        <filter class="solr.TrimFilterFactory"/>        
        <filter class="solr.NGramFilterFactory" minGramSize="2" maxGramSize="1000" />
        <filter class="solr.LowerCaseFilterFactory"/>
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>        
        <filter class="solr.PhoneticFilterFactory" encoder="DoubleMetaphone" inject="true"/>
        <filter class="solr.RemoveDuplicatesTokenFilterFactory"/>
    </analyzer>
    <analyzer type="query">
        <filter class="solr.TrimFilterFactory"/>
        <tokenizer class="solr.WhitespaceTokenizerFactory"/>        
        <filter class="solr.LowerCaseFilterFactory"/>       
        <filter class="solr.PhoneticFilterFactory" encoder="DoubleMetaphone" inject="true"/>
    </analyzer>
</fieldType>

Example : For a query "piece". I am getting around 780 NumFound(Number of documents). I need to reduce this counts but with most likely number of documents.

Milklivered

Any reason why you're using both ngram and phonetic? That will result in almost every document matching every (shortish) query. You might also want to test a different phonetic encoder. – Hermosillo

@ MatsLindh: I tried with different phonetic encoder but I think DoubleMetaphone encoder is good among all. There is any something relevant to threshold by which I can get only the most popular terms/documents for the query. – Milklivered

@Milklivered can you share which all terms get matched with piece? – Duodenary

@sidgate: I am getting words like 'preace, place, peace, etc. there are 780 words. – Milklivered

@Milklivered - Were you able to get a solution here?? – Kastroprauxel